From de25590d313793962d556a0e18a84f427f6f24bb Mon Sep 17 00:00:00 2001 From: "localizeflow[bot]" Date: Fri, 6 Feb 2026 08:32:13 +0000 Subject: [PATCH] chore(i18n): sync translations with latest source changes (chunk 1/1, 6 changes) --- translations/fi/.co-op-translator.json | 4 +- translations/fi/README.md | 168 ++++++++++++------------- translations/nl/.co-op-translator.json | 4 +- translations/nl/README.md | 154 +++++++++++------------ translations/no/.co-op-translator.json | 4 +- translations/no/README.md | 138 ++++++++++---------- 6 files changed, 236 insertions(+), 236 deletions(-) diff --git a/translations/fi/.co-op-translator.json b/translations/fi/.co-op-translator.json index 8cc5e079..ddd3b506 100644 --- a/translations/fi/.co-op-translator.json +++ b/translations/fi/.co-op-translator.json @@ -6,8 +6,8 @@ "language_code": "fi" }, "README.md": { - "original_hash": "1984fc89dd304a8a33ab5584691a99aa", - "translation_date": "2026-01-30T02:05:49+00:00", + "original_hash": "75fe3383afc51eaa84b82ace619ffea7", + "translation_date": "2026-02-06T08:29:59+00:00", "source_file": "README.md", "language_code": "fi" }, diff --git a/translations/fi/README.md b/translations/fi/README.md index 75ee6d10..33c15e86 100644 --- a/translations/fi/README.md +++ b/translations/fi/README.md @@ -12,34 +12,34 @@ [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Tekoäly Aloittelijoille - Opintokokonaisuus +# Tekoäly aloittelijoille – Oppimäärä |![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/fi/ai-overview.0857791951d19500.webp)| |:---:| -| AI Aloittelijoille - _Sketchnote kirjoittanut [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI Aloittelijoille – _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ | -Tutustu **Tekoälyn** (AI) maailmaan 12 viikon ja 24 oppitunnin kurssikokonaisuudellamme! Se sisältää käytännön oppitunteja, tietovisat ja laboratoriotöitä. Kurssi on aloittelijaystävällinen ja kattaa työkaluja kuten TensorFlow ja PyTorch sekä tekoälyn eettiset kysymykset. +Tutustu **tekoälyn** (AI) maailmaan 12 viikon ja 24 oppitunnin oppimäärällämme! Se sisältää käytännönläheisiä oppitunteja, testejä ja laboratorioita. Oppimäärä on aloittelijaystävällinen ja kattaa työkaluja kuten TensorFlow ja PyTorch, sekä tekoälyn etiikan. ### 🌐 Monikielinen tuki -#### Tuettu GitHub Actionin kautta (Automaattinen & aina ajan tasalla) +#### Tuettu GitHub Actionin avulla (automaattinen ja aina ajan tasalla) -[Arabia](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaria](../bg/README.md) | [Burma (Myanmar)](../my/README.md) | [Kiina (yksinkertaistettu)](../zh-CN/README.md) | [Kiina (perinteinen, Hong Kong)](../zh-HK/README.md) | [Kiina (perinteinen, Macau)](../zh-MO/README.md) | [Kiina (perinteinen, Taiwan)](../zh-TW/README.md) | [Kroatia](../hr/README.md) | [Tšekki](../cs/README.md) | [Tanska](../da/README.md) | [Hollanti](../nl/README.md) | [Viro](../et/README.md) | [Suomi](./README.md) | [Ranska](../fr/README.md) | [Saksa](../de/README.md) | [Kreikka](../el/README.md) | [Heprea](../he/README.md) | [Hindi](../hi/README.md) | [Unkari](../hu/README.md) | [Indonesia](../id/README.md) | [Italia](../it/README.md) | [Japani](../ja/README.md) | [Kannada](../kn/README.md) | [Korea](../ko/README.md) | [Liettua](../lt/README.md) | [Malaiji](../ms/README.md) | [Malajalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norja](../no/README.md) | [Persia (Farsi)](../fa/README.md) | [Puola](../pl/README.md) | [Portugali (Brasilia)](../pt-BR/README.md) | [Portugali (Portugali)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romania](../ro/README.md) | [Venäjä](../ru/README.md) | [Serbia (kyrillinen)](../sr/README.md) | [Slovakki](../sk/README.md) | [Sloveeni](../sl/README.md) | [Espanja](../es/README.md) | [Swahili](../sw/README.md) | [Ruotsi](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkki](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnam](../vi/README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](./README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) -> **Haluatko kloonata paikallisesti?** +> **Haluatko mieluummin kloonata paikallisesti?** -> Tämä arkisto sisältää 50+ käännöskieltä, mikä lisää merkittävästi latauskokoa. Kloonaa ilman käännöksiä käyttämällä sparse checkout -ominaisuutta: +> Tämä arkisto sisältää yli 50 kielikäännöstä, mikä kasvattaa latauskokoa merkittävästi. Kloonaa ilman käännöksiä käyttämällä sparse checkout -ominaisuutta: > ```bash > git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git > cd AI-For-Beginners > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > ``` -> Tämä tarjoaa kaiken tarvittavan kurssin suorittamiseen huomattavasti nopeammalla latauksella. +> Saat kaiken tarvitsemasi kurssin suorittamiseen huomattavasti nopeammalla latauksella. -**Jos haluat lisää tuettuja käännöskieliä, ne on listattu [tässä](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Jos haluat tuettavan lisäkielien käännöksiä, ne on listattu [tässä](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Liity yhteisöön [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) @@ -48,130 +48,130 @@ Tutustu **Tekoälyn** (AI) maailmaan 12 viikon ja 24 oppitunnin kurssikokonaisuu **[Kurssin miellekartta](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -Tässä opintokokonaisuudessa opit: +Tässä oppimäärässä opit: -* Eri lähestymistapoja tekoälyyn, mukaan lukien "hyvä vanha" symbolinen lähestymistapa, joka käyttää **Tietojen esitystä** ja päättelyä ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neuroverkot** ja **Syväoppiminen**, jotka ovat nykyaikaisen tekoälyn ydintä. Käytämme kahta suosittua kehystä - [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org) - havainnollistamaan näihin aiheisiin liittyviä käsitteitä koodin avulla. -* **Neuroarkkitehtuurit** kuvan- ja tekstinkäsittelyyn. Käymme läpi viimeisimpiä malleja, vaikka ne eivät aina edusta aivan uusinta teknologiaa. -* Vähemmän tunnettuja tekoälyn lähestymistapoja, kuten **Geneettisiä algoritmeja** ja **Moni-agenttijärjestelmiä**. +* Eri lähestymistapoja tekoälyyn, mukaan lukien "hyvä vanha" symbolinen lähestymistapa, johon kuuluu **Tiedon esittäminen** ja päättely ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Neuroverkot** ja **Syväoppiminen**, jotka ovat modernin tekoälyn ytimessä. Selitämme näiden tärkeiden aiheiden perusteet koodin avulla kahdessa suosituimmassa kehikossa - [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org). +* **Neuroarkkitehtuurit** kuvien ja tekstin käsittelyyn. Käytämme tuoreita malleja, mutta emme ehkä kata viimeisintä alan huippua. +* Vähemmän tunnettuja tekoälymenetelmiä, kuten **Geneettiset algoritmit** ja **Moniagenttijärjestelmät**. -Mitä emme käsittele tässä opintokokonaisuudessa: +Mitä emme käsittele tässä oppimäärässä: -> [Löydä kaikki tämän kurssin lisämateriaalit Microsoft Learn -kokoelmastamme](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Löydä kaikki lisäresurssit tälle kurssille Microsoft Learn -kokoelmastamme](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Liiketoimintatapauksia **tekoälyn käytöstä liiketoiminnassa**. Suosittelemme ottamaan [Johdanto tekoälyyn liiketoiminnan käyttäjille](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) -oppimispolun Microsoft Learnissa tai [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), joka on kehitetty yhteistyössä [INSEADin](https://www.insead.edu/) kanssa. -* **Klassista koneoppimista**, jota käsitellään hyvin [Koneoppiminen aloittelijoille](http://github.com/Microsoft/ML-for-Beginners) -opintokokonaisuudessamme. -* Käytännön tekoälysovelluksia, jotka on rakennettu käyttäen **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** -palveluita. Tässä suosittelemme aloittamaan Microsoft Learn -moduuleista [näköaistille](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [luonnollisen kielen käsittelyyn](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatiiviseen tekoälyyn Azure OpenAI -palvelulla](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ja muihin. -* Erityisiä ML **pilvikehyksiä**, kuten [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) tai [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Harkitse käyttäväsi oppimispolkuja [Machine Learning -ratkaisujen rakentaminen ja käyttöönotto Azure Machine Learningillä](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ja [Machine Learning -ratkaisujen rakentaminen ja toimintakuntoon Azure Databricksillä](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **Keskusteluperusteinen tekoäly** ja **Chataobotit**. Niihin on oma [Luo keskusteluperusteisia tekoälyratkaisuja](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) -oppimispolkunsa, ja lisätietoa löydät myös [tästä blogikirjoituksesta](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/). -* **Syvällinen matematiikka** syväoppimisen takana. Tässä suosittelemme teosta [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) kirjoittanut Ian Goodfellow, Yoshua Bengio ja Aaron Courville, joka on saatavilla myös netissä osoitteessa [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Liiketapauksia **tekoälyn hyödyntämisestä liiketoiminnassa**. Suosittelemme ottamaan [Johdanto tekoälyyn liikkeenharjoittajille](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) -oppipolun Microsoft Learnissä tai [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), joka on kehitetty yhteistyössä [INSEADin](https://www.insead.edu/) kanssa. +* **Perinteistä koneoppimista**, jota käsitellään hyvin meidän [Machine Learning for Beginners -oppimäärässämme](http://github.com/Microsoft/ML-for-Beginners). +* Käytännön tekoälysovelluksia, jotka on rakennettu **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** -palveluiden avulla. Aloita Microsoft Learniksen moduuleista, kuten [näkymä](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [luonnollisen kielen käsittely](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI Azuren OpenAI-palvelulla](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ja muut. +* Tietyt ML:n **pilvikehykset**, kuten [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) tai [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Suosittelemme oppipolkuja [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ja [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Keskustelevaa tekoälyä** ja **Chat-botteja**. Tähän on olemassa erillinen [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) -oppipolku, ja voit lisäksi lukea [tästä blogikirjoituksesta](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) lisätietoja. +* **Syvää matematiikkaa** syväoppimisen taustalla. Tähän suosittelemme [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) -kirjaa, jonka ovat kirjoittaneet Ian Goodfellow, Yoshua Bengio ja Aaron Courville. Se on myös saatavilla verkossa osoitteessa [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Hellävaraisemman johdannon _tekoälystä pilvessä_ aiheisiin saa ottamalla [Aloita tekoälyn kanssa Azurella](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) -oppimispolun. +Hellävaraisesta johdannosta _tekoälyyn pilvessä_ aiheisiin voit ottaa [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) -oppipolun. # Sisältö -| | Oppitunnin linkki | PyTorch/Keras/TensorFlow | Labra | +| | Lesson Link | PyTorch/Keras/TensorFlow | Lab | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Kurssin aloitus](./lessons/0-course-setup/setup.md) | [Kehitysympäristön asennus](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Johdatus tekoälyyn**](./lessons/1-Intro/README.md) | | | +| 0 | [Kurssin asennus](./lessons/0-course-setup/setup.md) | [Kehitysympäristön asennus](./lessons/0-course-setup/how-to-run.md) | | +| I | [**Johdanto tekoälyyn**](./lessons/1-Intro/README.md) | | | | 01 | [Johdanto ja tekoälyn historia](./lessons/1-Intro/README.md) | - | - | | II | **Symbolinen tekoäly** | -| 02 | [Tietojen esitys ja asiantuntijajärjestelmät](./lessons/2-Symbolic/README.md) | [Asiantuntijajärjestelmät](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Käsitteiden verkko](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Johdatus neuroverkkoihin**](./lessons/3-NeuralNetworks/README.md) ||| +| 02 | [Tiedon esittäminen ja asiantuntijajärjestelmät](./lessons/2-Symbolic/README.md) | [Asiantuntijajärjestelmät](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Käsitteiden verkko](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**Johdanto neuroverkkoihin**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptroni](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Muistikirja](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Labra](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Monikerroksinen perceptroni ja oman kehyskirjaston luominen](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Muistikirja](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labra](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Johdatus kehyksiin (PyTorch/TensorFlow) ja ylisovittaminen](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labra](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Tietokonenäkö**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Tutustu tietokonenäköön Microsoft Azuren avulla](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Johdatus tietokonenäköön. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Muistikirja](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Labra](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 04 | [Monikerroksinen perceptroni ja oman kehyksen luominen](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Muistikirja](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labra](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Johdanto kehyksiin (PyTorch/TensorFlow) ja ylisovittaminen](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labra](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Koneoppiminen näkökentässä**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Tutustu koneoppimiseen Microsoft Azurella](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Johdanto koneoppimiseen. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Muistikirja](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Labra](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | | 07 | [Konvoluutiohermoverkot](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-arkkitehtuurit](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Labra](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Esikoulutetut verkot ja siirtovaikuttaminen](./lessons/4-ComputerVision/08-TransferLearning/README.md) ja [Koulutusvinkit](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labra](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [Autoenkooderit ja VAE:t](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Generatiiviset vihollisverkot & taiteen tyylinsiirto](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [Kohteiden tunnistus](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Labra](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 08 | [Esikoulutetut verkot ja siirto-oppiminen](./lessons/4-ComputerVision/08-TransferLearning/README.md) ja [Koulutusvinkit](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labra](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [Autokooderit ja VAE:t](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [Generatiiviset vastustukselliset verkot ja taiteellinen tyylinsiirto](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [Kohteen tunnistus](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Labra](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Semanttinen segmentointi. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**Luonnollisen kielen käsittely**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Tutustu luonnollisen kielen käsittelyyn Microsoft Azuren avulla](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| V | [**Luonnollisen kielen käsittely**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Tutustu luonnollisen kielen käsittelyyn Microsoft Azurella](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| | 13 | [Tekstin esitys. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [Semanttiset sanansaadot. Word2Vec ja GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Kielimallinnus. Omien upotusten harjoittaminen](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Labra](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Takaisinkytketyt neuroverkot](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | -| 17 | [Generatiiviset takaisinkytketyt verkot](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Labra](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [Transformaattorit. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | +| 14 | [Semanttiset sanamuisteet. Word2Vec ja GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| 15 | [Kielimallinnus. Omien upotusten opettaminen](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Labra](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [Toistuvat neuroverkot](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | +| 17 | [Generatiiviset toistuvat verkot](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Labra](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 18 | [Transformerit. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | | 19 | [Nimettyjen entiteettien tunnistus](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Labra](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Suuret kielimallit, kehotusohjelmointi ja vähän.esimerkkitehtäviä](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 20 | [Suuret kielimallit, tehtäväkehotteiden ohjelmointi ja vähän esimerkkitehtäviä](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Muut tekoälytekniikat** || | | 21 | [Geneettiset algoritmit](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Muistikirja](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | | 22 | [Syvä vahvistusoppiminen](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Labra](./lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [Moniagenttijärjestelmät](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **Tekoälyn etiikka** | | | | 24 | [Tekoälyn etiikka ja vastuullinen tekoäly](./lessons/7-Ethics/README.md) | [Microsoft Learn: Vastuullisen tekoälyn periaatteet](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **Lisäaineistot** | | | +| IX | **Ekstrat** | | | | 25 | [Monimodaaliset verkot, CLIP ja VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Muistikirja](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Jokainen oppitunti sisältää -* Ennakko-lukemateriaalia -* Suoritettavia Jupyter-muistikirjoja, jotka ovat usein spesifisiä kehykselle (**PyTorch** tai **TensorFlow**). Suoritettava muistikirja sisältää myös paljon teoreettista aineistoa, joten aiheen ymmärtämiseksi sinun tulee käydä läpi ainakin jokin muistikirjan versioista (joko PyTorch tai TensorFlow). -* **Labroja** joihinkin aiheisiin, jotka antavat sinulle mahdollisuuden kokeilla oppimaasi käytännössä tietyn ongelman ratkaisemiseksi. -* Joihinkin osioihin sisältyy linkkejä [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moduuleihin, jotka käsittelevät aiheeseen liittyviä teemoja. +* Ennakkolukemateriaalia +* Suoritettavia Jupyter-muistikirjoja, jotka ovat usein kehyspesifisiä (**PyTorch** tai **TensorFlow**). Suoritettava muistikirja sisältää myös runsaasti teoreettista materiaalia, joten aiheen ymmärtämiseksi sinun tulee käydä läpi vähintään yksi versio muistikirjasta (joko PyTorch- tai TensorFlow-versio). +* Joillekin aiheille on saatavilla **labroja**, jotka antavat sinulle mahdollisuuden kokeilla oppimaasi käytännössä tietyn ongelman parissa. +* Joissakin osioissa on linkkejä [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -moduuleihin, jotka käsittelevät aiheeseen liittyviä teemoja. -## Alkuun pääseminen +## Aloittaminen -### 🎯 Uusi tekoälyn parissa? Aloita tästä! +### 🎯 Uusi tekoälyssä? Aloita tästä! -Jos olet täysin uusi tekoälyn parissa ja haluat nopeita, käytännön esimerkkejä, tutustu [**aloittelijaystävällisiin esimerkkeihimme**](./examples/README.md)! Niihin sisältyy: +Jos olet täysin uusi tekoälyssä ja haluat nopeita, käytännönläheisiä esimerkkejä, tutustu [**Aloittelijaystävällisiin esimerkkeihin**](./examples/README.md)! Näihin sisältyy: -- 🌟 **Hei tekoälymaailma** - Ensimmäinen tekoälyohjelmasi (kuviotunnistus) -- 🧠 **Yksinkertainen neuroverkko** - Rakenna neuroverkko alusta asti +- 🌟 **Hei tekoäly maailma** - Ensimmäinen tekoälyohjelmasi (kuviomallien tunnistus) +- 🧠 **Yksinkertainen neuroverkko** - Rakenna neuroverkko alusta alkaen -- 🖼️ **Kuvien luokittelija** - Luokittele kuvia yksityiskohtaisilla kommenteilla -- 💬 **Tekstin tunnelma** - Analysoi tekstin positiivisuus/negatiivisuus +- 🖼️ **Kuvien luokittelija** - Luokittele kuvia yksityiskohtaisten kommenttien kanssa +- 💬 **Tekstin sentimentti** - Analysoi positiivinen/negatiivinen teksti -Nämä esimerkit on suunniteltu auttamaan sinua ymmärtämään tekoälyn käsitteitä ennen varsinaisen oppimateriaalin pariin sukeltamista. +Nämä esimerkit on suunniteltu auttamaan sinua ymmärtämään tekoälyn käsitteitä ennen kuin sukellat koko opetussuunnitelmaan. -### 📚 Koko oppimateriaalin asennus +### 📚 Koko opetussuunnitelman asennus -- Olemme luoneet [asennustunnin](./lessons/0-course-setup/setup.md) auttamaan sinua kehitysympäristön asennuksessa. - Opettajille olemme luoneet myös [oppimateriaalin asennustunnin](./lessons/0-course-setup/for-teachers.md)! -- Kuinka [suorittaa koodi VSCode- tai Codespace-ympäristössä](./lessons/0-course-setup/how-to-run.md) +- Olemme luoneet [asennusosion](./lessons/0-course-setup/setup.md) auttamaan kehitysympäristön määrittämisessä. - Opettajille olemme myös luoneet [opetussuunnitelman asennusosion](./lessons/0-course-setup/for-teachers.md)! +- Kuinka [Suorittaa koodi VSCode- tai Codespace-ympäristössä](./lessons/0-course-setup/how-to-run.md) -Noudata näitä vaiheita: +Seuraa näitä ohjeita: -Forkkaa repositorio: Klikkaa sivun oikeasta yläkulmasta "Fork"-painiketta. +Forkkaa arkisto: Klikkaa sivun oikeassa yläkulmassa olevaa "Fork"-painiketta. -Kloonaa repositorio: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Kloonaa arkisto: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Älä unohda tähdittää (🌟) tätä repo:ta, jotta löydät sen helpommin myöhemmin. +Älä unohda tähdätä (🌟) tätä repoa löytääksesi sen helpommin myöhemmin. ## Tapaa muut oppijat -Liity [viralliselle AI Discord -palvelimellemme](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) tavata ja verkostoitua muiden kurssin kävijöiden kanssa sekä saada tukea. +Liity [viralliseen AI Discord -palvelimeemme](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) tavataaksesi ja verkostoituaksesi muiden tämän kurssin opiskelijoiden kanssa ja saadaksesi tukea. -Jos sinulla on palautetta tuotteesta tai kysymyksiä rakennuksen aikana, käy [Azure AI Foundry Developer Forumissa](https://aka.ms/foundry/forum) +Jos sinulla on tuotepalautetta tai kysymyksiä rakentamisen aikana, käy [Azure AI Foundry -kehittäjäfoorumilla](https://aka.ms/foundry/forum) -## Testit +## Kyselyt -> **Muistutus testeistä**: Kaikki testit löytyvät Quiz-app-kansiosta sijainnissa etc\quiz-app tai [verkkoversio täällä](https://ff-quizzes.netlify.app/) Testit on linkitetty oppitunneilta; quiz-sovellusta voi ajaa paikallisesti tai ottaa käyttöön Azureen; seuraa `quiz-app`-kansion ohjeita. Testit on vähitellen lokalisoitu. +> **Huomio kyselyistä**: Kaikki kyselyt löytyvät Quiz-app-kansiosta polussa etc\quiz-app, tai [verkossa täällä](https://ff-quizzes.netlify.app/). Ne on linkitetty oppituntien sisältä. Kyselysovellus voidaan suorittaa paikallisesti tai ottaa käyttöön Azureen; noudata ohjeita `quiz-app`-kansiossa. Ne lokalisoidaan vähitellen. -## Apua kaivataan +## Apua tarvitaan -Onko sinulla ehdotuksia tai oletko löytänyt kirjoitus- tai koodivirheitä? Tee issue tai tee pull request. +Onko sinulla ehdotuksia tai oletko löytänyt kirjoitus- tai koodivirheitä? Luo issue tai pull request. -## Erityiskiitos +## Erityiskiitokset * **✍️ Pääkirjoittaja:** [Dmitry Soshnikov](http://soshnikov.com), FT * **🔥 Toimittaja:** [Jen Looper](https://twitter.com/jenlooper), FT * **🎨 Sketchnote-kuvittaja:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Testin tekijä:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Ydintekijät:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **✅ Kyselyjen tekijä:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 Keskeiset osallistujat:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Muut oppimateriaalit +## Muut opetussuunnitelmat -Tiimimme tuottaa myös muita oppimateriaaleja! Tutustu: +Tiimimme tuottaa myös muita opetussuunnitelmia! Tutustu: ### LangChain [![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) [![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) - +[![LangChain for Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin) --- ### Azure / Edge / MCP / Agentit @@ -181,16 +181,16 @@ Tiimimme tuottaa myös muita oppimateriaaleja! Tutustu: [![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- - -### Generatiivinen AI -sarja + +### Generatiivisen tekoälyn sarja [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) [![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- - -### Keskeinen oppiminen + +### Perusopetus [![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) [![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) [![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) @@ -200,7 +200,7 @@ Tiimimme tuottaa myös muita oppimateriaaleja! Tutustu: [![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- - + ### Copilot-sarja [![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) [![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) @@ -209,17 +209,17 @@ Tiimimme tuottaa myös muita oppimateriaaleja! Tutustu: ## Apua saatavilla -Jos jumitut tai sinulla on kysyttävää tekoälysovellusten rakentamisesta, liity muiden oppijoiden ja kokeneiden kehittäjien keskusteluihin MCP:stä. Se on kannustava yhteisö, jossa kysymykset ovat tervetulleita ja tietoa jaetaan vapaasti. +Jos jumitut tai sinulla on kysyttävää tekoälysovellusten rakentamisesta, liity muiden oppijoiden ja kokeneiden kehittäjien keskusteluihin MCP:stä. Se on kannustava yhteisö, jossa kysymyksiä saa esittää ja tietoa jaetaan vapaasti. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Jos sinulla on tuotepalaute tai virheitä rakennusvaiheessa, käy: +Jos sinulla on tuotepalautetta tai virheitä rakentamisen aikana, käy: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -**Vastuuvapauslauseke**: -Tämä asiakirja on käännetty tekoälypohjaisella käännöspalvelulla [Co-op Translator](https://github.com/Azure/co-op-translator). Pyrimme tarkkuuteen, mutta automaattiset käännökset saattavat sisältää virheitä tai epätarkkuuksia. Alkuperäinen asiakirja omalla kielellään on virallinen lähde. Tärkeissä asioissa suositellaan ammattilaisen tekemää ihmiskäännöstä. Emme ole vastuussa tästä käännöksestä johtuvista väärinymmärryksistä tai tulkinnoista. +**Vastuuvapauslauseke**: +Tämä asiakirja on käännetty käyttämällä tekoälypohjaista käännöspalvelua [Co-op Translator](https://github.com/Azure/co-op-translator). Vaikka pyrimme tarkkuuteen, automaattisissa käännöksissä voi esiintyä virheitä tai epätarkkuuksia. Alkuperäistä asiakirjaa sen alkuperäisellä kielellä tulee pitää virallisena lähteenä. Tärkeiden tietojen osalta suositellaan ammattimaista ihmiskäännöstä. Emme ole vastuussa tämän käännöksen käytöstä mahdollisesti aiheutuvista väärinymmärryksistä tai tulkinnoista. \ No newline at end of file diff --git a/translations/nl/.co-op-translator.json b/translations/nl/.co-op-translator.json index 0e7dd818..a6aa4342 100644 --- a/translations/nl/.co-op-translator.json +++ b/translations/nl/.co-op-translator.json @@ -6,8 +6,8 @@ "language_code": "nl" }, "README.md": { - "original_hash": "1984fc89dd304a8a33ab5584691a99aa", - "translation_date": "2026-01-30T02:07:23+00:00", + "original_hash": "75fe3383afc51eaa84b82ace619ffea7", + "translation_date": "2026-02-06T08:32:05+00:00", "source_file": "README.md", "language_code": "nl" }, diff --git a/translations/nl/README.md b/translations/nl/README.md index f65ad0c1..f76dfe01 100644 --- a/translations/nl/README.md +++ b/translations/nl/README.md @@ -14,21 +14,20 @@ # Kunstmatige Intelligentie voor Beginners - Een Curriculum -|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/nl/ai-overview.0857791951d19500.webp)| +|![Sketchnote door @girlie_mac https://twitter.com/girlie_mac](../../translated_images/nl/ai-overview.0857791951d19500.webp)| |:---:| -| AI For Beginners - _Sketchnote door [@girlie_mac](https://twitter.com/girlie_mac)_ | - -Verken de wereld van **Kunstmatige Intelligentie** (AI) met ons 12-weken durend, 24-lessen curriculum! Het bevat praktische lessen, quizzen en labs. Het curriculum is geschikt voor beginners en behandelt tools zoals TensorFlow en PyTorch, evenals ethiek binnen AI. +| AI Voor Beginners - _Sketchnote door [@girlie_mac](https://twitter.com/girlie_mac)_ | +Ontdek de wereld van **Kunstmatige Intelligentie** (KI) met ons 12-weken durende curriculum van 24 lessen! Het bevat praktische lessen, quizzen en labs. Het curriculum is geschikt voor beginners en behandelt tools zoals TensorFlow en PyTorch, evenals ethiek in KI. ### 🌐 Meertalige Ondersteuning #### Ondersteund via GitHub Action (Geautomatiseerd & Altijd Up-to-Date) -[Arabisch](../ar/README.md) | [Bengaals](../bn/README.md) | [Bulgaars](../bg/README.md) | [Birmaans (Myanmar)](../my/README.md) | [Chinees (Vereenvoudigd)](../zh-CN/README.md) | [Chinees (Traditioneel, Hong Kong)](../zh-HK/README.md) | [Chinees (Traditioneel, Macau)](../zh-MO/README.md) | [Chinees (Traditioneel, Taiwan)](../zh-TW/README.md) | [Kroatisch](../hr/README.md) | [Tsjechisch](../cs/README.md) | [Deens](../da/README.md) | [Nederlands](./README.md) | [Ests](../et/README.md) | [Fins](../fi/README.md) | [Frans](../fr/README.md) | [Duits](../de/README.md) | [Grieks](../el/README.md) | [Hebreeuws](../he/README.md) | [Hindi](../hi/README.md) | [Hongaars](../hu/README.md) | [Indonesisch](../id/README.md) | [Italiaans](../it/README.md) | [Japans](../ja/README.md) | [Kannada](../kn/README.md) | [Koreaans](../ko/README.md) | [Litouws](../lt/README.md) | [Maleis](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalees](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Noors](../no/README.md) | [Perzisch (Farsi)](../fa/README.md) | [Pools](../pl/README.md) | [Portugees (Brazilië)](../pt-BR/README.md) | [Portugees (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Roemeens](../ro/README.md) | [Russisch](../ru/README.md) | [Servisch (Cyrillisch)](../sr/README.md) | [Slowaaks](../sk/README.md) | [Sloveens](../sl/README.md) | [Spaans](../es/README.md) | [Swahili](../sw/README.md) | [Zweeds](../sv/README.md) | [Tagalog (Filipijns)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thais](../th/README.md) | [Turks](../tr/README.md) | [Oekraïens](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamees](../vi/README.md) +[Arabisch](../ar/README.md) | [Bengaals](../bn/README.md) | [Bulgaars](../bg/README.md) | [Birmaans (Myanmar)](../my/README.md) | [Chinees (Vereenvoudigd)](../zh-CN/README.md) | [Chinees (Traditioneel, Hong Kong)](../zh-HK/README.md) | [Chinees (Traditioneel, Macau)](../zh-MO/README.md) | [Chinees (Traditioneel, Taiwan)](../zh-TW/README.md) | [Kroatisch](../hr/README.md) | [Tsjechisch](../cs/README.md) | [Deens](../da/README.md) | [Nederlands](./README.md) | [Ests](../et/README.md) | [Fins](../fi/README.md) | [Frans](../fr/README.md) | [Duits](../de/README.md) | [Grieks](../el/README.md) | [Hebreeuws](../he/README.md) | [Hindi](../hi/README.md) | [Hongaars](../hu/README.md) | [Indonesisch](../id/README.md) | [Italiaans](../it/README.md) | [Japans](../ja/README.md) | [Kannada](../kn/README.md) | [Koreaans](../ko/README.md) | [Litouws](../lt/README.md) | [Maleis](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalees](../ne/README.md) | [Nigeriaans Pidgin](../pcm/README.md) | [Noors](../no/README.md) | [Perzisch (Farsi)](../fa/README.md) | [Pools](../pl/README.md) | [Portugees (Brazilië)](../pt-BR/README.md) | [Portugees (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Roemeens](../ro/README.md) | [Russisch](../ru/README.md) | [Servisch (Cyrillisch)](../sr/README.md) | [Slowaaks](../sk/README.md) | [Sloveens](../sl/README.md) | [Spaans](../es/README.md) | [Swahili](../sw/README.md) | [Zweeds](../sv/README.md) | [Tagalog (Filipijns)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thais](../th/README.md) | [Turks](../tr/README.md) | [Oekraïens](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamees](../vi/README.md) -> **Lieber lokaal klonen?** +> **Voorkeur om lokaal te klonen?** > Deze repository bevat meer dan 50 taalvertalingen wat de downloadgrootte aanzienlijk vergroot. Om te klonen zonder vertalingen, gebruik sparse checkout: > ```bash @@ -39,52 +38,52 @@ Verken de wereld van **Kunstmatige Intelligentie** (AI) met ons 12-weken durend, > Dit geeft je alles wat je nodig hebt om de cursus te voltooien met een veel snellere download. -**Indien je extra vertaaltalen wenst te ondersteunen, zijn deze hier genoemd [hier](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Als je extra vertalingen wenst, worden de ondersteunde talen hier vermeld [hier](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -## Word lid van de Community +## Word lid van de community [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## Wat je zal leren +## Wat je zult leren -**[Mindmap van de Cursus](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Mindmap van de cursus](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** In dit curriculum leer je: -* Verschillende benaderingen van Kunstmatige Intelligentie, inclusief de "good old" symbolische benadering met **Kennisrepresentatie** en redeneren ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neurale Netwerken** en **Diep Leren**, die de kern vormen van moderne AI. We zullen de concepten achter deze belangrijke onderwerpen illustreren met code in twee van de populairste frameworks - [TensorFlow](http://Tensorflow.org) en [PyTorch](http://pytorch.org). -* **Neurale Architecturen** voor het werken met afbeeldingen en tekst. We behandelen recente modellen maar het kan iets minder up-to-date zijn met de state-of-the-art. -* Minder populaire AI-benaderingen, zoals **Genetische Algoritmen** en **Multi-Agent Systemen**. +* Verschillende benaderingen van Kunstmatige Intelligentie, waaronder de "goede oude" symbolische benadering met **Kennisrepresentatie** en redeneren ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Neurale Netwerken** en **Diep Leren**, die aan de basis liggen van moderne KI. We illustreren de concepten achter deze belangrijke onderwerpen met code in twee van de populairste frameworks - [TensorFlow](http://Tensorflow.org) en [PyTorch](http://pytorch.org). +* **Neurale Architecturen** voor werken met afbeeldingen en tekst. We behandelen recente modellen, maar missen mogelijk de allernieuwste. +* Minder populaire KI-benaderingen, zoals **Genetische Algoritmen** en **Multi-Agent Systemen**. Wat we niet behandelen in dit curriculum: -> [Vind alle aanvullende bronnen voor deze cursus in onze Microsoft Learn-collectie](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Vind alle extra bronnen voor deze cursus in onze Microsoft Learn collectie](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Business cases voor het gebruik van **AI in Business**. Overweeg om de leerroute [Introductie tot AI voor zakelijke gebruikers](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) op Microsoft Learn te volgen, of de [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), ontwikkeld in samenwerking met [INSEAD](https://www.insead.edu/). -* **Klassiek Machine Learning**, dat goed beschreven wordt in ons [Machine Learning voor Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). -* Praktische AI-toepassingen gebouwd met **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Hiervoor raden we je aan te starten met modules op Microsoft Learn voor [visie](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natuurlijke taalverwerking](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatieve AI met Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** en anderen. -* Specifieke ML **Cloud Frameworks**, zoals [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), of [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Overweeg het gebruik van de leerpaden [Bouw en beheer machine learning-oplossingen met Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) en [Bouw en beheer machine learning-oplossingen met Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **Conversational AI** en **Chatbots**. Er is een aparte leerroute [Maak conversational AI-oplossingen](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), en je kunt ook verwijzen naar [deze blogpost](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) voor meer details. -* **Diepe wiskunde** achter diep leren. Hiervoor raden we [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) aan van Ian Goodfellow, Yoshua Bengio en Aaron Courville, dat ook online beschikbaar is op [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Business cases voor het gebruik van **KI in het bedrijfsleven**. Overweeg de leerroute [Inleiding tot KI voor zakelijke gebruikers](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) op Microsoft Learn, of [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), ontwikkeld in samenwerking met [INSEAD](https://www.insead.edu/). +* **Klassieke Machine Learning**, die goed beschreven wordt in ons [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). +* Praktische KI-toepassingen gebouwd met **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Hiervoor raden we aan te starten met Microsoft Learn modules voor [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatieve KI met Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** en anderen. +* Specifieke ML **Cloud Frameworks**, zoals [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), of [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Overweeg de leerpaden [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) en [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Conversational AI** en **Chatbots**. Er is een apart [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) leerpad, en je kunt ook verwijzen naar [deze blogpost](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) voor meer details. +* **Diepe wiskunde** achter diep leren. Hiervoor raden we aan [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) van Ian Goodfellow, Yoshua Bengio en Aaron Courville, dat ook online beschikbaar is op [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Voor een zachte introductie tot _AI in de Cloud_ onderwerpen kun je overwegen om de leerroute [Begin met kunstmatige intelligentie op Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) te volgen. +Voor een zachte introductie tot _KI in de cloud_ kun je overwegen het leerpad [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) te volgen. # Inhoud -| | Les Link | PyTorch/Keras/TensorFlow | Lab | +| | Leslink | PyTorch/Keras/TensorFlow | Lab | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 0 | [Cursus Setup](./lessons/0-course-setup/setup.md) | [Stel je ontwikkelomgeving in](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Introductie tot AI**](./lessons/1-Intro/README.md) | | | -| 01 | [Introductie en Geschiedenis van AI](./lessons/1-Intro/README.md) | - | - | -| II | **Symbolische AI** | +| I | [**Introductie tot KI**](./lessons/1-Intro/README.md) | | | +| 01 | [Introductie en Geschiedenis van KI](./lessons/1-Intro/README.md) | - | - | +| II | **Symbolische KI** | | 02 | [Kennisrepresentatie en Expertsystemen](./lessons/2-Symbolic/README.md) | [Expertsystemen](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Conceptgrafiek](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Introductie tot Neurale Netwerken**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Multi-Layered Perceptron en het creëren van ons eigen Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Introductie tot Frameworks (PyTorch/TensorFlow) en Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| 04 | [Multi-Layered Perceptron en het Creëren van ons eigen Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Intro tot Frameworks (PyTorch/TensorFlow) en Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | | IV | [**Computer Vision**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Verken Computer Vision op Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Introductie tot Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Architecturen](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Voorgetrainde Netwerken en Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) en [Training Trucs](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 06 | [Intro tot Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Architectures](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Voorgetrainde Netwerken en Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) en [Trainingstrucs](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoencoders en VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | | 10 | [Generative Adversarial Networks & Artistieke Stijltransfer](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Objectdetectie](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | @@ -92,18 +91,18 @@ Voor een zachte introductie tot _AI in de Cloud_ onderwerpen kun je overwegen om | V | [**Natuurlijke Taalverwerking**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Verken Natuurlijke Taalverwerking op Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| | 13 | [Tekstrepresentatie. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | | 14 | [Semantische woord-embeddings. Word2Vec en GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Taalkundige Modellering. Train je eigen embeddings](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Recurrent Neural Networks](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | +| 15 | [Taalmodellering. Je eigen embeddings trainen](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [Recurrente Neurale Netwerken](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | | 17 | [Generatieve Recurrente Netwerken](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | | 19 | [Named Entity Recognition](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Grote Taalmodellen, Promptprogrammering en Few-Shot Taken](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 20 | [Grote Taalmodellen, Prompt Programming en Few-Shot Taken](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Andere AI-Technieken** || | | 21 | [Genetische Algoritmen](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | | 22 | [Deep Reinforcement Learning](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [Multi-Agent Systemen](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **AI-ethiek** | | | -| 24 | [AI-ethiek en Verantwoordelijke AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Verantwoordelijke AI Principes](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| VII | **AI Ethiek** | | | +| 24 | [AI Ethiek en Verantwoorde AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principes van Verantwoorde AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Extra's** | | | | 25 | [Multi-Modal Netwerken, CLIP en VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | @@ -111,26 +110,27 @@ Voor een zachte introductie tot _AI in de Cloud_ onderwerpen kun je overwegen om * Voorleesmateriaal * Uitvoerbare Jupyter Notebooks, die vaak specifiek zijn voor het framework (**PyTorch** of **TensorFlow**). Het uitvoerbare notebook bevat ook veel theoretisch materiaal, dus om het onderwerp te begrijpen moet je minstens één versie van het notebook doorlopen (PyTorch of TensorFlow). -* **Labs** beschikbaar voor sommige onderwerpen, die je de kans geven om de geleerde stof toe te passen op een specifiek probleem. +* **Labs** beschikbaar voor sommige onderwerpen, die je de mogelijkheid bieden om het geleerde materiaal toe te passen op een specifiek probleem. * Sommige secties bevatten links naar [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules die gerelateerde onderwerpen behandelen. ## Aan de slag -### 🎯 Nieuw met AI? Begin hier! +### 🎯 Nieuw in AI? Begin hier! -Als je helemaal nieuw bent met AI en snel praktische voorbeelden wilt bekijken, bekijk dan onze [**Beginnervriendelijke Voorbeelden**](./examples/README.md)! Deze bevatten: +Als je helemaal nieuw bent in AI en snel praktische voorbeelden wilt, bekijk dan onze [**Beginner-Vriendelijke Voorbeelden**](./examples/README.md)! Deze omvatten: - 🌟 **Hallo AI Wereld** - Je eerste AI-programma (patroonherkenning) -- 🧠 **Eenvoudig Neuraal Netwerk** - Bouw een neuraal netwerk vanaf nul +- 🧠 **Eenvoudig Neuraal Netwerk** - Bouw een neuraal netwerk helemaal vanaf nul + - 🖼️ **Beeldclassificatie** - Classificeer afbeeldingen met gedetailleerde opmerkingen -- 💬 **Tekstsentiment** - Analyseer positieve/negatieve tekst +- 💬 **Tekst Sentiment** - Analyseer positieve/negatieve tekst -Deze voorbeelden zijn ontworpen om je te helpen AI-concepten te begrijpen voordat je aan het volledige curriculum begint. +Deze voorbeelden zijn ontworpen om je te helpen AI-concepten te begrijpen voordat je aan de volledige cursus begint. -### 📚 Volledige Curriculum Setup +### 📚 Volledige Cursusopzet -- We hebben een [setup les](./lessons/0-course-setup/setup.md) gemaakt om je te helpen bij het instellen van je ontwikkelomgeving. - Voor docenten hebben we ook een [curricula setup les](./lessons/0-course-setup/for-teachers.md) gemaakt! -- Hoe de [code uit te voeren in VSCode of een Codespace](./lessons/0-course-setup/how-to-run.md) +- We hebben een [opzetles gemaakt](./lessons/0-course-setup/setup.md) om je te helpen bij het instellen van je ontwikkelomgeving. - Voor docenten hebben we ook een [cursusopzetles](./lessons/0-course-setup/for-teachers.md) gemaakt! +- Hoe je de code [in VSCode of een Codespace kunt uitvoeren](./lessons/0-course-setup/how-to-run.md) Volg deze stappen: @@ -138,51 +138,51 @@ Fork de Repository: Klik op de knop "Fork" rechtsboven op deze pagina. Clone de Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Vergeet niet deze repo te voorzien van een ster (🌟) zodat je hem later gemakkelijker terugvindt. +Vergeet niet om deze repo te beoordelen (🌟) zodat je hem later gemakkelijker terugvindt. ## Ontmoet andere Leerlingen -Doe mee met onze [officiële AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) om andere leerlingen die deze cursus volgen te ontmoeten en netwerk te bouwen en ondersteuning te krijgen. +Doe mee met onze [officiële AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) om andere leerlingen te ontmoeten die deze cursus volgen en om ondersteuning te krijgen. Als je productfeedback of vragen hebt tijdens het bouwen, bezoek dan ons [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) ## Quizzen -> **Een opmerking over quizzen**: Alle quizzen zitten in de Quiz-app map in etc\quiz-app, of [Online Hier](https://ff-quizzes.netlify.app/) Ze zijn gelinkt vanuit de lessen, de quiz-app kan lokaal worden uitgevoerd of op Azure worden gedeployed; volg de instructies in de `quiz-app` map. Ze worden geleidelijk gelokaliseerd. +> **Een opmerking over quizzen**: Alle quizzen bevinden zich in de Quiz-app map in etc\quiz-app, of [Online Hier](https://ff-quizzes.netlify.app/) Ze zijn gekoppeld binnen de lessen, de quiz-app kan lokaal worden uitgevoerd of worden ingezet op Azure; volg de instructies in de `quiz-app` map. Ze worden geleidelijk gelokaliseerd. -## Hulp Gezocht +## Hulp Gevraagd -Heb je suggesties of spelling- of codefouten gevonden? Maak een issue aan of dien een pull request in. +Heb je suggesties of fouten gevonden in spelling of code? Maak een issue aan of stuur een pull request. ## Speciale Dank * **✍️ Hoofdauteur:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD +* **🔥 Redacteur:** [Jen Looper](https://twitter.com/jenlooper), PhD * **🎨 Sketchnote illustrator:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Quiz Maker:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **✅ Quizmaker:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 Kernbijdragers:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Andere Curricula +## Andere Cursussen -Ons team maakt nog meer curricula! Bekijk: +Ons team produceert andere cursussen! Bekijk: ### LangChain -[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) - +[![LangChain4j voor Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain.js voor Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain voor Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin) --- ### Azure / Edge / MCP / Agents -[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AZD voor Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge AI voor Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![MCP voor Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agents voor Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Generatieve AI Serie -[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +### Generative AI Serie +[![Generative AI voor Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) [![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) @@ -190,35 +190,35 @@ Ons team maakt nog meer curricula! Bekijk: --- ### Kernleren -[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +[![ML voor Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Data Science voor Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![AI voor Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![Cybersecurity voor Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![Webontwikkeling voor Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT voor Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![XR Ontwikkeling voor Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- ### Copilot Serie -[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +[![Copilot voor AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot voor C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![Copilot Avontuur](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) ## Hulp Krijgen -Als je vastloopt of vragen hebt over het bouwen van AI-apps. Doe mee met mede-leerlingen en ervaren ontwikkelaars in discussies over MCP. Het is een ondersteunende community waar vragen welkom zijn en kennis vrij gedeeld wordt. +Als je vastloopt of vragen hebt over het bouwen van AI-apps, sluit je aan bij mede-lerenden en ervaren ontwikkelaars in discussies over MCP. Het is een ondersteunende community waar vragen welkom zijn en kennis vrij gedeeld wordt. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Als je productfeedback of fouten hebt tijdens het bouwen, bezoek dan: +Als je productfeedback of fouten tegenkomt tijdens het bouwen, bezoek dan: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -**Disclaimer**: -Dit document is vertaald met behulp van de AI-vertalingsservice [Co-op Translator](https://github.com/Azure/co-op-translator). Hoewel we streven naar nauwkeurigheid, dient u er rekening mee te houden dat automatische vertalingen fouten of onjuistheden kunnen bevatten. Het oorspronkelijke document in de oorspronkelijke taal moet als de gezaghebbende bron worden beschouwd. Voor kritieke informatie wordt professionele menselijke vertaling aanbevolen. Wij zijn niet aansprakelijk voor enige misverstanden of verkeerde interpretaties die voortvloeien uit het gebruik van deze vertaling. +**Disclaimer**: +Dit document is vertaald met behulp van de AI-vertalingsdienst [Co-op Translator](https://github.com/Azure/co-op-translator). Hoewel we streven naar nauwkeurigheid, dient u er rekening mee te houden dat geautomatiseerde vertalingen fouten of onnauwkeurigheden kunnen bevatten. Het oorspronkelijke document in de oorspronkelijke taal dient als de gezaghebbende bron te worden beschouwd. Voor belangrijke informatie wordt professionele menselijke vertaling aanbevolen. Wij zijn niet aansprakelijk voor eventuele misverstanden of verkeerde interpretaties die voortkomen uit het gebruik van deze vertaling. \ No newline at end of file diff --git a/translations/no/.co-op-translator.json b/translations/no/.co-op-translator.json index 4378866a..6c034244 100644 --- a/translations/no/.co-op-translator.json +++ b/translations/no/.co-op-translator.json @@ -6,8 +6,8 @@ "language_code": "no" }, "README.md": { - "original_hash": "1984fc89dd304a8a33ab5584691a99aa", - "translation_date": "2026-01-30T02:04:08+00:00", + "original_hash": "75fe3383afc51eaa84b82ace619ffea7", + "translation_date": "2026-02-06T08:27:54+00:00", "source_file": "README.md", "language_code": "no" }, diff --git a/translations/no/README.md b/translations/no/README.md index 257c1d45..8f9055ee 100644 --- a/translations/no/README.md +++ b/translations/no/README.md @@ -12,34 +12,34 @@ [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Kunstig intelligens for nybegynnere - En læreplan +# Kunstig intelligens for nybegynnere - Et pensum -|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/no/ai-overview.0857791951d19500.webp)| +|![Sketchnote av @girlie_mac https://twitter.com/girlie_mac](../../translated_images/no/ai-overview.0857791951d19500.webp)| |:---:| -| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ | +| Kunstig intelligens for nybegynnere - _Sketchnote av [@girlie_mac](https://twitter.com/girlie_mac)_ | -Utforsk verden av **kunstig intelligens** (AI) med vår 12-ukers, 24-leksjoners læreplan! Den inkluderer praktiske leksjoner, quizzer og laboratorier. Læreplanen er nybegynnervennlig og dekker verktøy som TensorFlow og PyTorch, samt etikk innen AI. +Utforsk verden av **kunstig intelligens** (AI) med vårt 12-ukers, 24-leksjons pensum! Det inkluderer praktiske leksjoner, quizzes og laboratorier. Pensumet er nybegynnervennlig og dekker verktøy som TensorFlow og PyTorch, samt etikk innen AI. -### 🌐 Flerspråklig støtte +### 🌐 Støtte for flere språk -#### Støttet via GitHub Action (Automatisk og alltid oppdatert) +#### Støttet via GitHub Action (Automatisert og alltid oppdatert) [Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](./README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) > **Foretrekker du å klone lokalt?** -> Dette depotet inkluderer 50+ språkoversettelser som øker nedlastingsstørrelsen betydelig. For å klone uten oversettelser, bruk sparse checkout: +> Dette depotet inkluderer over 50 språkoversettelser som øker nedlastingsstørrelsen betydelig. For å klone uten oversettelser, bruk sparse checkout: > ```bash > git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git > cd AI-For-Beginners > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > ``` -> Dette gir deg alt du trenger for å fullføre kurset med mye raskere nedlasting. +> Dette gir deg alt du trenger for å fullføre kurset med en mye raskere nedlasting. -**Hvis du ønsker at flere oversettelsesspråk skal støttes, finnes de oppført [her](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Hvis du ønsker at flere oversettelsesspråk støttes, er de oppført [her](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Bli med i fellesskapet [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) @@ -48,98 +48,98 @@ Utforsk verden av **kunstig intelligens** (AI) med vår 12-ukers, 24-leksjoners **[Tankekart over kurset](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -I denne læreplanen vil du lære: +I dette pensumet vil du lære: * Ulike tilnærminger til kunstig intelligens, inkludert den "gode gamle" symbolske tilnærmingen med **Kunnskapsrepresentasjon** og resonnement ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neurale nettverk** og **dyp læring**, som er kjernen i moderne AI. Vi illustrerer konseptene bak disse viktige temaene med kode i to av de mest populære rammeverkene - [TensorFlow](http://Tensorflow.org) og [PyTorch](http://pytorch.org). -* **Neurale arkitekturer** for arbeid med bilder og tekst. Vi dekker nylige modeller, men kan være litt mangelfulle i det siste innen teknologien. -* Mindre populære AI-tilnærminger, som **genetiske algoritmer** og **multi-agent-systemer**. +* **Nevrale nettverk** og **dyp læring**, som utgjør kjernen i moderne AI. Vi vil illustrere konseptene bak disse viktige temaene med kode i to av de mest populære rammeverkene - [TensorFlow](http://Tensorflow.org) og [PyTorch](http://pytorch.org). +* **Nevrale arkitekturer** for arbeid med bilder og tekst. Vi vil dekke nyere modeller, men kan mangle litt på det mest moderne. +* Mindre populære AI-tilnærminger, som **genetiske algoritmer** og **multi-agent systemer**. -Hva vi ikke dekker i denne læreplanen: +Hva vi ikke dekker i dette pensumet: -> [Finn alle tilleggressurser for dette kurset i vår Microsoft Learn-samling](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Finn alle ekstra ressurser for dette kurset i vår Microsoft Learn-samling](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Forretningscase for bruk av **AI i business**. Vurder å ta [Introduksjon til AI for forretningsbrukere](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) læringssti på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), utviklet i samarbeid med [INSEAD](https://www.insead.edu/). -* **Klassisk maskinlæring**, som er godt beskrevet i vår [Maskinlæring for nybegynnere læreplan](http://github.com/Microsoft/ML-for-Beginners). -* Praktiske AI-applikasjoner bygget med **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For dette anbefaler vi at du starter med Microsoft Learn-moduler for [syn](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [naturlig språkbehandling](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativ AI med Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** og andre. -* Spesifikke ML **sky-rammeverk**, som [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Vurder å bruke læringsstiene [Bygg og drift maskinlæringsløsninger med Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) og [Bygg og drift maskinlæringsløsninger med Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **Samtale-AI** og **chatbotter**. Det finnes en egen [Lag samtale-AI løsninger](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) læringssti, og du kan også referere til [dette blogginnlegget](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for mer informasjon. +* Forretningscase for bruk av **AI i næringslivet**. Vurder å ta [Introduksjon til AI for forretningsbrukere](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) læringssti på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), utviklet i samarbeid med [INSEAD](https://www.insead.edu/). +* **Klassisk maskinlæring**, som er godt beskrevet i vårt [Maskinlæring for nybegynnere-pensum](http://github.com/Microsoft/ML-for-Beginners). +* Praktiske AI-applikasjoner bygd med **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For dette anbefaler vi at du starter med Microsoft Learn-moduler for [syn](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [naturlig språkbehandling](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[generativ AI med Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** og andre. +* Spesifikke ML **Cloud-rammeverk**, som [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Vurder å bruke læringsstier som [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) og [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Samtale-AI** og **chatbots**. Det finnes en egen [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) læringssti, og du kan også se [denne bloggposten](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for mer detaljer. * **Dyp matematikk** bak dyp læring. For dette anbefaler vi [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) av Ian Goodfellow, Yoshua Bengio og Aaron Courville, som også er tilgjengelig online på [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -For en mild introduksjon til _AI i skyen_ kan du vurdere å ta læringsstien [Kom i gang med kunstig intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +For en mild introduksjon til _AI i skyen_-temaer kan du vurdere å ta [Kom i gang med kunstig intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) læringssti. # Innhold -| | Lesson Link | PyTorch/Keras/TensorFlow | Lab | +| | Leksjonslenke | PyTorch/Keras/TensorFlow | Laboratorium | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Course Setup](./lessons/0-course-setup/setup.md) | [Setup Your Development Environment](./lessons/0-course-setup/how-to-run.md) | | +| 0 | [Kursoppsett](./lessons/0-course-setup/setup.md) | [Sett opp utviklingsmiljøet ditt](./lessons/0-course-setup/how-to-run.md) | | | I | [**Introduksjon til AI**](./lessons/1-Intro/README.md) | | | -| 01 | [Introduksjon og historien til AI](./lessons/1-Intro/README.md) | - | - | +| 01 | [Introduksjon og AI sin historie](./lessons/1-Intro/README.md) | - | - | | II | **Symbolsk AI** | | 02 | [Kunnskapsrepresentasjon og ekspertsystemer](./lessons/2-Symbolic/README.md) | [Ekspertsystemer](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konseptgraf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Introduksjon til nevrale nettverk**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notatbok](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Flerlaget Perceptron og lage vårt eget rammeverk](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notatbok](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Introduksjon til rammeverk (PyTorch/TensorFlow) og overtilpasning](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| 04 | [Flerlags perceptron og å lage vårt eget rammeverk](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notatbok](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Innledning til rammeverk (PyTorch/TensorFlow) og overtilpasning](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | | IV | [**Datamaskinsyn**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Utforsk datamaskinsyn på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Introduksjon til datamaskinsyn. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notatbok](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Konvolusjonsnevrale nettverk](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-arkitekturer](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Forhåndstrente nettverk og overføringslæring](./lessons/4-ComputerVision/08-TransferLearning/README.md) og [Treningsknep](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 06 | [Innledning til datamaskinsyn. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notatbok](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Konvolusjonale nevrale nettverk](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-arkitekturer](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Fortrente nettverk og transfer learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) og [Treningstriks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoenkodere og VAEer](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Generative adversariale nettverk og kunstnerisk stiloverføring](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 10 | [Generative adversarial networks og kunstnerisk stiloverføring](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Objektdeteksjon](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Semantisk segmentering. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | | V | [**Naturlig språkbehandling**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Utforsk naturlig språkbehandling på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Tekstreprensentasjon. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [Semantiske ordinnpakninger. Word2Vec og GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Språkmodellering. Trene dine egne innpakninger](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 13 | [Tekstreprentasjon. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| 14 | [Semantiske ord-innkodinger. Word2Vec og GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| 15 | [Språkmodellering. Trening av egne innkodinger](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Rekurrente nevrale nettverk](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | | 17 | [Generative rekurrente nettverk](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [Navngitt enhetsgjenkjenning](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Store språkmodeller, promptprogrammering og få-skudd oppgaver](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 19 | [Navngitt entitetsgjenkjenning](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Store språkmodeller, prompt-programmering og få-eksempel-oppgaver](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Andre AI-teknikker** || | | 21 | [Genetiske algoritmer](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notatbok](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Dyp forsterkende læring](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 22 | [Dyp forsterkningslæring](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [Multi-agent systemer](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **AI-etikk** | | | | 24 | [AI-etikk og ansvarlig AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Prinsipper for ansvarlig AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Ekstra** | | | -| 25 | [Multimodale nettverk, CLIP og VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notatbok](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 25 | [Multi-modale nettverk, CLIP og VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notatbok](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Hver leksjon inneholder -* Forlesningsmateriale -* Kjørbare Jupyter Notebooks, som ofte er spesifikke for rammeverket (**PyTorch** eller **TensorFlow**). Den kjørbare notatboken inneholder også mye teoretisk materiale, så for å forstå emnet må du gå gjennom minst én versjon av notatboken (enten PyTorch eller TensorFlow). -* **Laboratorier** tilgjengelig for noen emner, som gir deg mulighet til å prøve å anvende materialet du har lært på et spesifikt problem. +* Forhåndslesingsmateriale +* Kjørbare Jupyter-notatbøker, som ofte er spesifikke for rammeverket (**PyTorch** eller **TensorFlow**). Den kjørbare notatboken inneholder også mye teoretisk materiale, så for å forstå temaet må du gå gjennom minst én variant av notatboken (enten PyTorch eller TensorFlow). +* **Laboratorier** tilgjengelige for noen temaer, som gir deg muligheten til å prøve å anvende materialet du har lært på et spesifikt problem. * Noen seksjoner inneholder lenker til [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moduler som dekker relaterte emner. ## Komme i gang -### 🎯 Ny i AI? Start her! +### 🎯 Ny til AI? Start her! Hvis du er helt ny til AI og ønsker raske, praktiske eksempler, sjekk ut våre [**Nybegynnervennlige eksempler**](./examples/README.md)! Disse inkluderer: -- 🌟 **Hello AI World** - Ditt første AI-program (mønster- gjenkjenning) +- 🌟 **Hei AI-verden** - Ditt første AI-program (mønster-gjenkjenning) - 🧠 **Enkelt nevralt nettverk** - Bygg et nevralt nettverk fra bunnen av -- 🖼️ **Bildeklassifisering** - Klassifiser bilder med detaljerte kommentarer -- 💬 **Tekstfølelse** - Analyser positiv/negativ tekst +- 🖼️ **Bildeklassifisering** - Klassifiser bilder med detaljert kommentarer +- 💬 **Tekststemning** - Analyser positiv/negativ tekst -Disse eksemplene er laget for å hjelpe deg å forstå AI-konsepter før du går videre til hele pensumet. +Disse eksemplene er laget for å hjelpe deg å forstå AI-konsepter før du dykker inn i hele læreplanen. -### 📚 Fullt pensumoppsett +### 📚 Oppsett for full læreplan -- Vi har laget en [oppsett-leksjon](./lessons/0-course-setup/setup.md) for å hjelpe deg med å sette opp utviklingsmiljøet ditt. - For lærere har vi også laget en [pensumoppsett-leksjon](./lessons/0-course-setup/for-teachers.md)! -- Hvordan [Kjøre koden i VSCode eller en Codespace](./lessons/0-course-setup/how-to-run.md) +- Vi har laget en [oppsett-leksjon](./lessons/0-course-setup/setup.md) for å hjelpe deg med å sette opp utviklingsmiljøet ditt. - For lærere har vi også laget en [oppsett-leksjon for læreplaner](./lessons/0-course-setup/for-teachers.md)! +- Hvordan [kjøre koden i VSCode eller en Codespace](./lessons/0-course-setup/how-to-run.md) -Følg disse trinnene: +Følg disse stegene: -Fork depotet: Klikk på "Fork" knappen oppe til høyre på denne siden. +Gaffel depotet: Klikk på "Fork" knappen øverst til høyre på denne siden. Klon depotet: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Ikke glem å gi dette repoet en stjerne (🌟) for å finne det lettere senere. +Ikke glem å gi en stjerne (🌟) til dette repoet for å finne det lettere senere. ## Møt andre lærende @@ -147,34 +147,34 @@ Bli med i vår [offisielle AI Discord-server](https://aka.ms/genai-discord?WT.mc Hvis du har produktinnspill eller spørsmål mens du bygger, besøk vår [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) -## Quizzer +## Prøver -> **En merknad om quizzer**: Alle quizzer ligger i Quiz-app-mappen i etc\quiz-app, eller [Online her](https://ff-quizzes.netlify.app/) De er linket fra leksjonene, quiz-appen kan kjøres lokalt eller distribueres til Azure; følg instruksjonen i `quiz-app`-mappen. De blir gradvis lokalisert. +> **En merknad om prøver**: Alle prøver finnes i Quiz-app-mappen i etc\quiz-app, eller [Online her](https://ff-quizzes.netlify.app/) De er lenket fra leksjonene; quiz-appen kan kjøres lokalt eller distribueres til Azure; følg instruksjonene i `quiz-app`-mappen. De blir gradvis oversatt. -## Trenger hjelp +## Hjelp ønskes Har du forslag eller funnet skrivefeil eller kodefeil? Opprett en sak eller send en pull request. -## Spesielle takk +## Spesiell takk * **✍️ Hovedforfatter:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Redaktør:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Sketchnote-illustratør:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **🎨 Sketchnote illustratør:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Quiz-skaper:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 Kjernebidragsytere:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Andre pensum +## Andre læreplaner -Vårt team lager andre pensum! Sjekk ut: +Vårt team produserer andre læreplaner! Sjekk ut: -### LangChain +### LangChain [![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) - +[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain for Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin) --- -### Azure / Edge / MCP / Agenter +### Azure / Edge / MCP / Agenter [![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) [![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) [![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) @@ -182,7 +182,7 @@ Vårt team lager andre pensum! Sjekk ut: --- -### Generativ AI-serie +### Generativ AI-serie [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) @@ -190,7 +190,7 @@ Vårt team lager andre pensum! Sjekk ut: --- -### Kjerneprogrammering +### Kjerne-læring [![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) [![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) [![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) @@ -201,7 +201,7 @@ Vårt team lager andre pensum! Sjekk ut: --- -### Copilot-serie +### Copilot-serie [![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) [![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) [![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) @@ -209,17 +209,17 @@ Vårt team lager andre pensum! Sjekk ut: ## Få hjelp -Hvis du sitter fast eller har spørsmål om å bygge AI-apper. Bli med på diskusjoner med andre lærende og erfarne utviklere om MCP. Det er et støttende fellesskap hvor spørsmål er velkomne og kunnskap deles fritt. +Hvis du sitter fast eller har spørsmål om å bygge AI-apper, bli med andre lærende og erfarne utviklere i diskusjoner om MCP. Det er et støttende fellesskap der spørsmål er velkomne og kunnskap deles fritt. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Hvis du har produktinnspill eller feil mens du bygger, besøk: +Hvis du har produktinnspill eller feil under bygging, besøk: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -**Fraskrivelse**: -Dette dokumentet er oversatt ved hjelp av AI-oversettelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selv om vi streber etter nøyaktighet, vennligst vær oppmerksom på at automatiserte oversettelser kan inneholde feil eller unøyaktigheter. Det originale dokumentet på det opprinnelige språket skal anses som den autoritative kilden. For kritisk informasjon anbefales profesjonell menneskelig oversettelse. Vi er ikke ansvarlige for eventuelle misforståelser eller feiltolkninger som oppstår ved bruk av denne oversettelsen. +**Ansvarsfraskrivelse**: +Dette dokumentet er oversatt ved hjelp av AI-oversettelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selv om vi streber etter nøyaktighet, vær oppmerksom på at automatiske oversettelser kan inneholde feil eller unøyaktigheter. Det opprinnelige dokumentet på sitt opprinnelige språk skal anses som den autoritative kilden. For kritisk informasjon anbefales profesjonell menneskelig oversettelse. Vi er ikke ansvarlige for eventuelle misforståelser eller feiltolkninger som oppstår ved bruk av denne oversettelsen. \ No newline at end of file