chore(i18n): sync translations with latest source changes (chunk 1/1, 6 changes)
This commit is contained in:
parent
0ece03bf9a
commit
b906328ec1
|
|
@ -30,8 +30,8 @@
|
|||
"language_code": "bn"
|
||||
},
|
||||
"etc/Mindmap.md": {
|
||||
"original_hash": "f2f88dbd2debd38e26149b27b1fd272d",
|
||||
"translation_date": "2025-08-26T11:21:59+00:00",
|
||||
"original_hash": "10abe483dbfb1e1ff695848f4d2e84a8",
|
||||
"translation_date": "2026-04-20T15:43:20+00:00",
|
||||
"source_file": "etc/Mindmap.md",
|
||||
"language_code": "bn"
|
||||
},
|
||||
|
|
|
|||
|
|
@ -1,76 +1,80 @@
|
|||
# এআই
|
||||
# AI
|
||||
|
||||
## [এআই পরিচিতি](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/1-Intro/README.md)
|
||||
- এআই এর সংজ্ঞা
|
||||
- এআই এর ইতিহাস
|
||||
- এআই এর পদ্ধতিগুলো
|
||||
- টপ-ডাউন/প্রতীকী
|
||||
## [AI পরিচিতি](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/1-Intro/README.md)
|
||||
- AI সংজ্ঞা
|
||||
- AI এর ইতিহাস
|
||||
- AI এর পদ্ধতি
|
||||
- টপ-ডাউন/সিম্বলিক
|
||||
- বটম-আপ/নিউরাল
|
||||
- বিবর্তনমূলক
|
||||
- সাইনার্জেটিক / উদ্ভূত এআই
|
||||
- [মাইক্রোসফট এআই বিজনেস স্কুল](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-cacaste)
|
||||
- বিবর্তনাত্মক
|
||||
- সাইনার্জেটিক / ইমার্জেন্ট AI
|
||||
- [Microsoft AI বিজনেস স্কুল](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-cacaste)
|
||||
|
||||
## [প্রতীকী এআই](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/README.md)
|
||||
- জ্ঞান উপস্থাপন
|
||||
- [বিশেষজ্ঞ সিস্টেম](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb)
|
||||
- [অন্তর্নির্মিতি](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb)
|
||||
- সেমান্টিক ওয়েব
|
||||
## [সিম্বলিক AI](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/README.md)
|
||||
- জ্ঞানের উপস্থাপনা
|
||||
- [এক্সপার্ট সিস্টেম](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb)
|
||||
- [অন্টোলজি](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb)
|
||||
- সেম্যান্টিক ওয়েব
|
||||
|
||||
## [নিউরাল নেটওয়ার্ক](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/README.md)
|
||||
- [পারসেপট্রন](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/03-Perceptron/README.md)
|
||||
- [মাল্টি-লেয়ারড নেটওয়ার্ক](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/04-OwnFramework/README.md)
|
||||
- [ফ্রেমওয়ার্কের পরিচিতি](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/README.md)
|
||||
## [নিউরাল নেটওয়ার্ক](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/README.md)
|
||||
- [পারসেপ্ট্রন](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/03-Perceptron/README.md)
|
||||
- [মাল্টি-লেয়ার নেটওয়ার্ক](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/04-OwnFramework/README.md)
|
||||
- [ফ্রেমওয়ার্ক্সের পরিচিতি](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/README.md)
|
||||
- [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb)
|
||||
- [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.md)
|
||||
- [ওভারফিটিং](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/Overfitting.md)
|
||||
|
||||
## [কম্পিউটার ভিশন](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/README.md)
|
||||
- এমএস লার্ন-এ
|
||||
- [এআই ফান্ডামেন্টালস: কম্পিউটার ভিশন অন্বেষণ করুন](https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-77998-cacaste)
|
||||
- [PyTorch দিয়ে কম্পিউটার ভিশন](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste)
|
||||
- [TensorFlow দিয়ে কম্পিউটার ভিশন](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)
|
||||
- [কম্পিউটার ভিশনের পরিচিতি। OpenCV](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/06-IntroCV/README.md)
|
||||
- MS Learn এ
|
||||
- [AI মুলনীতি: কম্পিউটার ভিশন অন্বেষণ করুন](https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-77998-cacaste)
|
||||
- [PyTorch দিয়ে CV](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste)
|
||||
- [TensorFlow দিয়ে CV](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)
|
||||
- [CV পরিচিতি, OpenCV](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/06-IntroCV/README.md)
|
||||
- [কনভলিউশনাল নেটওয়ার্ক](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/README.md)
|
||||
- [সিএনএন আর্কিটেকচার](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)
|
||||
- [CNN আর্কিটেকচার](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)
|
||||
- [ট্রান্সফার লার্নিং](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/README.md)
|
||||
- [ট্রেনিং ট্রিকস](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)
|
||||
- [অটোএনকোডার এবং ভিএইএস](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/09-Autoencoders/README.md)
|
||||
- [জেনারেটিভ অ্যাডভারসারিয়াল নেটওয়ার্ক](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/README.md)
|
||||
- [অটোএনকোডার এবং VAE](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/09-Autoencoders/README.md)
|
||||
- [জেনোরেটিভ অ্যাডভার্সারিয়াল নেটওয়ার্ক](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/README.md)
|
||||
- [স্টাইল ট্রান্সফার](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/StyleTransfer.ipynb)
|
||||
- [অবজেক্ট ডিটেকশন](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/11-ObjectDetection/README.md)
|
||||
- [সেগমেন্টেশন](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/12-Segmentation/README.md)
|
||||
|
||||
## [ন্যাচারাল ল্যাঙ্গুয়েজ প্রসেসিং](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/README.md)
|
||||
- এমএস লার্ন-এ
|
||||
- [এআই ফান্ডামেন্টালস: এনএলপি অন্বেষণ করুন](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-cacaste)
|
||||
- [PyTorch দিয়ে এনএলপি](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste)
|
||||
- [TensorFlow দিয়ে এনএলপি](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste)
|
||||
- [টেক্সট উপস্থাপন](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/README.md)
|
||||
- MS Learn এ
|
||||
- [AI মুলনীতি: NLP অন্বেষণ করুন](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-cacaste)
|
||||
- [PyTorch দিয়ে NLP](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste)
|
||||
- [TensorFlow দিয়ে NLP](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste)
|
||||
- [টেক্সট উপস্থাপনা](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/README.md)
|
||||
- ব্যাগ অফ ওয়ার্ডস
|
||||
- টিএফ/আইডিএফ
|
||||
- [সেমান্টিক এমবেডিংস](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/README.md)
|
||||
- TF/IDF
|
||||
- [সেম্যান্টিক এমবেডিংস](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/README.md)
|
||||
- Word2Vec
|
||||
- GloVE
|
||||
- [ল্যাঙ্গুয়েজ মডেলিং](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling)
|
||||
- [রিকারেন্ট নিউরাল নেটওয়ার্ক](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/README.md)
|
||||
- এলএসটিএম
|
||||
- জিআরইউ
|
||||
- LSTM
|
||||
- GRU
|
||||
- [জেনারেটিভ রিকারেন্ট নেটওয়ার্ক](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/README.md)
|
||||
- [ট্রান্সফরমার এবং BERT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/README.md)
|
||||
- [ট্রান্সফর্মার এবং BERT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/README.md)
|
||||
- [নেমড এন্টিটি রিকগনিশন](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/19-NER/README.md)
|
||||
- [টেক্সট জেনারেশন এবং GPT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/20-LanguageModels/README.md)
|
||||
## অন্যান্য কৌশল
|
||||
## অন্যান্য পদ্ধতি
|
||||
- [জেনেটিক অ্যালগরিদম](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/21-GeneticAlgorithms/README.md)
|
||||
- [ডিপ রিইনফোর্সমেন্ট লার্নিং](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/README.md)
|
||||
- [ডীপ রিইনফোর্সমেন্ট লার্নিং](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/README.md)
|
||||
- [মাল্টি-এজেন্ট সিস্টেম](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/23-MultiagentSystems/README.md)
|
||||
|
||||
## [এআই নৈতিকতা](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/7-Ethics/README.md)
|
||||
- [দায়িত্বশীল এআই সম্পর্কে এমএস লার্ন](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste)
|
||||
## [AI নীতি-বোধ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/7-Ethics/README.md)
|
||||
- [MS Learn এ দায়িত্বশীল AI বিষয়ক](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste)
|
||||
## অতিরিক্ত
|
||||
- [মাল্টিমোডাল নেটওয়ার্ক](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/README.md)
|
||||
- [CLIP](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/Clip.ipynb)
|
||||
- DALL-E
|
||||
- VQ-GAN
|
||||
|
||||
**অস্বীকৃতি**:
|
||||
এই নথিটি AI অনুবাদ পরিষেবা [Co-op Translator](https://github.com/Azure/co-op-translator) ব্যবহার করে অনুবাদ করা হয়েছে। আমরা যথাসম্ভব সঠিকতা নিশ্চিত করার চেষ্টা করি, তবে অনুগ্রহ করে মনে রাখবেন যে স্বয়ংক্রিয় অনুবাদে ত্রুটি বা অসঙ্গতি থাকতে পারে। মূল ভাষায় থাকা নথিটিকে প্রামাণিক উৎস হিসেবে বিবেচনা করা উচিত। গুরুত্বপূর্ণ তথ্যের জন্য, পেশাদার মানব অনুবাদ সুপারিশ করা হয়। এই অনুবাদ ব্যবহারের ফলে কোনো ভুল বোঝাবুঝি বা ভুল ব্যাখ্যা হলে আমরা তার জন্য দায়ী থাকব না।
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**ব্যাখ্যা**:
|
||||
এই নথিটি এআই অনুবাদ পরিষেবা [Co-op Translator](https://github.com/Azure/co-op-translator) ব্যবহার করে অনূদিত হয়েছে। যদিও আমরা সঠিকতার জন্য চেষ্টা করি, অনুগ্রহ করে জেনে রাখুন যে স্বয়ংক্রিয় অনুবাদে ত্রুটি বা অসম্পূর্ণতা থাকতে পারে। মূল নথিটি তার স্থানীয় ভাষায়ই কর্তৃত্বপূর্ণ উৎস হিসেবে গণ্য করা উচিত। গুরুত্বপূর্ণ তথ্যের জন্য, পেশাদার মানব অনুবাদের পরামর্শ দেওয়া হয়। এই অনুবাদের ব্যবহার থেকে উদ্ভূত যে কোন ভুলবোঝাবুঝি বা ভুল ব্যাখ্যার জন্য আমরা দায়ী নই।
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -30,8 +30,8 @@
|
|||
"language_code": "hi"
|
||||
},
|
||||
"etc/Mindmap.md": {
|
||||
"original_hash": "f2f88dbd2debd38e26149b27b1fd272d",
|
||||
"translation_date": "2025-08-24T10:06:32+00:00",
|
||||
"original_hash": "10abe483dbfb1e1ff695848f4d2e84a8",
|
||||
"translation_date": "2026-04-20T15:42:40+00:00",
|
||||
"source_file": "etc/Mindmap.md",
|
||||
"language_code": "hi"
|
||||
},
|
||||
|
|
|
|||
|
|
@ -1,78 +1,80 @@
|
|||
# एआई
|
||||
|
||||
## [एआई का परिचय](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/1-Intro/README.md)
|
||||
- एआई की परिभाषा
|
||||
- एआई का इतिहास
|
||||
- एआई के दृष्टिकोण
|
||||
- टॉप-डाउन/सिंबॉलिक
|
||||
- बॉटम-अप/न्यूरल
|
||||
- इवोल्यूशनरी
|
||||
- सिनर्जेटिक / इमर्जेंट एआई
|
||||
- [माइक्रोसॉफ्ट एआई बिजनेस स्कूल](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-cacaste)
|
||||
- एआई परिभाषा
|
||||
- एआई का इतिहास
|
||||
- एआई के दृष्टिकोण
|
||||
- टॉप-डाउन/प्रतीकात्मक
|
||||
- बॉटम-अप/न्यूरल
|
||||
- विकासवादी
|
||||
- परिसंयोजक / उभरता हुआ एआई
|
||||
- [माइक्रोसॉफ्ट एआई बिजनेस स्कूल](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-cacaste)
|
||||
|
||||
## [सिंबॉलिक एआई](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/README.md)
|
||||
- ज्ञान का प्रतिनिधित्व
|
||||
- [एक्सपर्ट सिस्टम्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb)
|
||||
- [ऑन्टोलॉजीज](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb)
|
||||
- सेमांटिक वेब
|
||||
## [प्रतीकात्मक एआई](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/README.md)
|
||||
- ज्ञान प्रतिनिधित्व
|
||||
- [विशेषज्ञ प्रणालियाँ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb)
|
||||
- [ऑन्टोलॉजीज़](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb)
|
||||
- सेमान्टिक वेब
|
||||
|
||||
## [न्यूरल नेटवर्क्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/README.md)
|
||||
- [पर्सेप्ट्रॉन](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/03-Perceptron/README.md)
|
||||
- [मल्टी-लेयर्ड नेटवर्क्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/04-OwnFramework/README.md)
|
||||
- [फ्रेमवर्क्स का परिचय](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/README.md)
|
||||
- [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb)
|
||||
- [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.md)
|
||||
- [ओवरफिटिंग](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/Overfitting.md)
|
||||
## [न्यूरल नेटवर्क](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/README.md)
|
||||
- [परसेप्ट्रोन](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/03-Perceptron/README.md)
|
||||
- [मल्टी-लेयर्ड नेटवर्क](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/04-OwnFramework/README.md)
|
||||
- [फ्रेमवर्क्स का परिचय](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/README.md)
|
||||
- [पाइटॉर्च](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb)
|
||||
- [टेंसरफ्लो](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.md)
|
||||
- [ओवरफिटिंग](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/Overfitting.md)
|
||||
|
||||
## [कंप्यूटर विज़न](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/README.md)
|
||||
- MS Learn पर
|
||||
- [एआई फंडामेंटल्स: कंप्यूटर विज़न का अन्वेषण करें](https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-77998-cacaste)
|
||||
- [PyTorch के साथ कंप्यूटर विज़न](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste)
|
||||
- [TensorFlow के साथ कंप्यूटर विज़न](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)
|
||||
- [कंप्यूटर विज़न का परिचय। OpenCV](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/06-IntroCV/README.md)
|
||||
- [कन्वोल्यूशनल नेटवर्क्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/README.md)
|
||||
- [सीएनएन आर्किटेक्चर्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)
|
||||
- [ट्रांसफर लर्निंग](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/README.md)
|
||||
- [ट्रेनिंग ट्रिक्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)
|
||||
- [ऑटोएन्कोडर्स और वीएई](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/09-Autoencoders/README.md)
|
||||
- [जेनरेटिव एडवर्सेरियल नेटवर्क्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/README.md)
|
||||
- [स्टाइल ट्रांसफर](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/StyleTransfer.ipynb)
|
||||
- [ऑब्जेक्ट डिटेक्शन](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/11-ObjectDetection/README.md)
|
||||
- [सेगमेंटेशन](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/12-Segmentation/README.md)
|
||||
|
||||
- एमएस लर्न पर
|
||||
- [एआई फंडामेंटल: कंप्यूटर विज़न एक्सप्लोर करें](https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-77998-cacaste)
|
||||
- [पाइटॉर्च के साथ सीवी](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste)
|
||||
- [टेंसरफ्लो के साथ सीवी](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)
|
||||
- [सीवी का परिचय। ओपनसीवी](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/06-IntroCV/README.md)
|
||||
- [कन्वोल्यूशनल नेटवर्क्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/README.md)
|
||||
- [सीएनएन आर्किटेक्चर](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)
|
||||
- [ट्रांसफर लर्निंग](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/README.md)
|
||||
- [ट्रेनिंग ट्रिक्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)
|
||||
- [ऑटोएन्कोडर और वीएई](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/09-Autoencoders/README.md)
|
||||
- [जेनेरेटिव एडवर्सेरियल नेटवर्क्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/README.md)
|
||||
- [स्टाइल ट्रांसफर](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/StyleTransfer.ipynb)
|
||||
- [ऑब्जेक्ट डिटेक्शन](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/11-ObjectDetection/README.md)
|
||||
- [सेगमेंटेशन](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/12-Segmentation/README.md)
|
||||
|
||||
## [नेचुरल लैंग्वेज प्रोसेसिंग](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/README.md)
|
||||
- MS Learn पर
|
||||
- [एआई फंडामेंटल्स: एनएलपी का अन्वेषण करें](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-cacaste)
|
||||
- [PyTorch के साथ एनएलपी](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste)
|
||||
- [TensorFlow के साथ एनएलपी](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste)
|
||||
- [टेक्स्ट प्रतिनिधित्व](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/README.md)
|
||||
- बैग ऑफ वर्ड्स
|
||||
- TF/IDF
|
||||
- [सेमांटिक एम्बेडिंग्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/README.md)
|
||||
- Word2Vec
|
||||
- GloVE
|
||||
- [लैंग्वेज मॉडलिंग](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling)
|
||||
- [रिकरेंट न्यूरल नेटवर्क्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/README.md)
|
||||
- LSTM
|
||||
- GRU
|
||||
- [जेनरेटिव रिकारेंट नेटवर्क्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/README.md)
|
||||
- [ट्रांसफॉर्मर्स और BERT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/README.md)
|
||||
- [नेम्ड एंटिटी रिकग्निशन](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/19-NER/README.md)
|
||||
- [टेक्स्ट जनरेशन और GPT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/20-LanguageModels/README.md)
|
||||
|
||||
- एमएस लर्न पर
|
||||
- [एआई फंडामेंटल: नेचुरल लैंग्वेज प्रोसेसिंग एक्सप्लोर करें](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-cacaste)
|
||||
- [पाइटॉर्च के साथ NLP](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste)
|
||||
- [टेंसरफ्लो के साथ NLP](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste)
|
||||
- [टेक्स्ट प्रतिनिधित्व](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/README.md)
|
||||
- बैग ऑफ वर्ड्स
|
||||
- TF/IDF
|
||||
- [सेमान्टिक एम्बेडिंग्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/README.md)
|
||||
- वर्ड2वेक
|
||||
- ग्लोव
|
||||
- [भाषा मॉडलिंग](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling)
|
||||
- [रिकरंट न्यूरल नेटवर्क्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/README.md)
|
||||
- एलएसटीएम
|
||||
- जीआरयू
|
||||
- [जेनेरेटिव रिकरंट नेटवर्क्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/README.md)
|
||||
- [ट्रांसफॉर्मर्स और बीईआरटी](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/README.md)
|
||||
- [नामित इकाई मान्यता](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/19-NER/README.md)
|
||||
- [टेक्स्ट जनरेशन और जीपीटी](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/20-LanguageModels/README.md)
|
||||
## अन्य तकनीकें
|
||||
- [जेनेटिक एल्गोरिदम्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/21-GeneticAlgorithms/README.md)
|
||||
- [डीप रिइंफोर्समेंट लर्निंग](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/README.md)
|
||||
- [मल्टी-एजेंट सिस्टम्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/23-MultiagentSystems/README.md)
|
||||
- [जेनेटिक एल्गोरिदम](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/21-GeneticAlgorithms/README.md)
|
||||
- [डीप रिइन्फोर्समेंट लर्निंग](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/README.md)
|
||||
- [मल्टी-एजेंट सिस्टम](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/23-MultiagentSystems/README.md)
|
||||
|
||||
## [एआई नैतिकता](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/7-Ethics/README.md)
|
||||
- [जिम्मेदार एआई पर MS Learn](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste)
|
||||
- [एमएस लर्न पर जिम्मेदार एआई](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste)
|
||||
## एक्सट्रा
|
||||
- [मल्टीमॉडल नेटवर्क्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/README.md)
|
||||
- [क्लिप](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/Clip.ipynb)
|
||||
- DALL-E
|
||||
- VQ-GAN
|
||||
|
||||
## अतिरिक्त
|
||||
- [मल्टीमॉडल नेटवर्क्स](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/README.md)
|
||||
- [CLIP](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/Clip.ipynb)
|
||||
- DALL-E
|
||||
- VQ-GAN
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**अस्वीकरण**:
|
||||
यह दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) का उपयोग करके अनुवादित किया गया है। जबकि हम सटीकता के लिए प्रयासरत हैं, कृपया ध्यान दें कि स्वचालित अनुवाद में त्रुटियां या अशुद्धियां हो सकती हैं। मूल भाषा में उपलब्ध मूल दस्तावेज़ को प्रामाणिक स्रोत माना जाना चाहिए। महत्वपूर्ण जानकारी के लिए, पेशेवर मानव अनुवाद की सिफारिश की जाती है। इस अनुवाद के उपयोग से उत्पन्न किसी भी गलतफहमी या गलत व्याख्या के लिए हम उत्तरदायी नहीं हैं।
|
||||
यह दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) का उपयोग करके अनूदित किया गया है। जबकि हम सटीकता के लिए प्रयासरत हैं, कृपया ध्यान दें कि स्वचालित अनुवादों में त्रुटियाँ या असत्यताएँ हो सकती हैं। मूल दस्तावेज़ उसकी मूल भाषा में अधिकारिक स्रोत माना जाना चाहिए। महत्वपूर्ण जानकारी के लिए, पेशेवर मानव अनुवाद की अनुशंसा की जाती है। इस अनुवाद के उपयोग से उत्पन्न किसी भी गलतफहमी या गलत व्याख्याओं के लिए हम जिम्मेदार नहीं हैं।
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -30,8 +30,8 @@
|
|||
"language_code": "ko"
|
||||
},
|
||||
"etc/Mindmap.md": {
|
||||
"original_hash": "f2f88dbd2debd38e26149b27b1fd272d",
|
||||
"translation_date": "2025-08-24T21:38:47+00:00",
|
||||
"original_hash": "10abe483dbfb1e1ff695848f4d2e84a8",
|
||||
"translation_date": "2026-04-20T15:42:02+00:00",
|
||||
"source_file": "etc/Mindmap.md",
|
||||
"language_code": "ko"
|
||||
},
|
||||
|
|
|
|||
|
|
@ -3,14 +3,14 @@
|
|||
## [AI 소개](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/1-Intro/README.md)
|
||||
- AI 정의
|
||||
- AI 역사
|
||||
- AI 접근 방식
|
||||
- 상향식/기호적
|
||||
- 하향식/신경망
|
||||
- AI 접근법
|
||||
- 탑다운/심볼릭
|
||||
- 보텀업/신경망
|
||||
- 진화적
|
||||
- 협력적/발현적 AI
|
||||
- 시너제틱 / 출현형 AI
|
||||
- [Microsoft AI 비즈니스 스쿨](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-cacaste)
|
||||
|
||||
## [기호적 AI](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/README.md)
|
||||
## [심볼릭 AI](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/README.md)
|
||||
- 지식 표현
|
||||
- [전문가 시스템](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb)
|
||||
- [온톨로지](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb)
|
||||
|
|
@ -22,31 +22,31 @@
|
|||
- [프레임워크 소개](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/README.md)
|
||||
- [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb)
|
||||
- [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.md)
|
||||
- [오버피팅](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/Overfitting.md)
|
||||
- [과적합](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/Overfitting.md)
|
||||
|
||||
## [컴퓨터 비전](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/README.md)
|
||||
- MS Learn에서
|
||||
- [AI 기초: 컴퓨터 비전 탐구](https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-77998-cacaste)
|
||||
- [PyTorch를 활용한 컴퓨터 비전](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste)
|
||||
- [TensorFlow를 활용한 컴퓨터 비전](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)
|
||||
- [컴퓨터 비전 소개. OpenCV](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/06-IntroCV/README.md)
|
||||
- [합성곱 신경망](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/README.md)
|
||||
- [AI 기초: 컴퓨터 비전 탐험하기](https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-77998-cacaste)
|
||||
- [PyTorch로 CV](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste)
|
||||
- [TensorFlow로 CV](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)
|
||||
- [CV 소개. OpenCV](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/06-IntroCV/README.md)
|
||||
- [컨볼루션 신경망](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/README.md)
|
||||
- [CNN 아키텍처](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)
|
||||
- [전이 학습](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/README.md)
|
||||
- [학습 팁](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)
|
||||
- [오토인코더와 VAE](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/09-Autoencoders/README.md)
|
||||
- [생성적 적대 신경망](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/README.md)
|
||||
- [스타일 전이](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/StyleTransfer.ipynb)
|
||||
- [객체 탐지](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/11-ObjectDetection/README.md)
|
||||
- [세그멘테이션](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/12-Segmentation/README.md)
|
||||
- [스타일 변환](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/StyleTransfer.ipynb)
|
||||
- [객체 검출](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/11-ObjectDetection/README.md)
|
||||
- [분할](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/12-Segmentation/README.md)
|
||||
|
||||
## [자연어 처리](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/README.md)
|
||||
- MS Learn에서
|
||||
- [AI 기초: NLP 탐구](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-cacaste)
|
||||
- [PyTorch를 활용한 NLP](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste)
|
||||
- [TensorFlow를 활용한 NLP](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste)
|
||||
- [AI 기초: 자연어 처리 탐험하기](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-cacaste)
|
||||
- [PyTorch로 NLP](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste)
|
||||
- [TensorFlow로 NLP](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste)
|
||||
- [텍스트 표현](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/README.md)
|
||||
- Bag of Words
|
||||
- 단어 집합
|
||||
- TF/IDF
|
||||
- [시맨틱 임베딩](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/README.md)
|
||||
- Word2Vec
|
||||
|
|
@ -55,24 +55,26 @@
|
|||
- [순환 신경망](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/README.md)
|
||||
- LSTM
|
||||
- GRU
|
||||
- [생성적 순환 신경망](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/README.md)
|
||||
- [생성 순환 신경망](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/README.md)
|
||||
- [트랜스포머와 BERT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/README.md)
|
||||
- [개체명 인식](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/19-NER/README.md)
|
||||
- [텍스트 생성과 GPT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/20-LanguageModels/README.md)
|
||||
|
||||
## 기타 기술
|
||||
## 기타 기법
|
||||
- [유전 알고리즘](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/21-GeneticAlgorithms/README.md)
|
||||
- [심층 강화 학습](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/README.md)
|
||||
- [다중 에이전트 시스템](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/23-MultiagentSystems/README.md)
|
||||
- [딥 강화 학습](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/README.md)
|
||||
- [멀티 에이전트 시스템](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/23-MultiagentSystems/README.md)
|
||||
|
||||
## [AI 윤리](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/7-Ethics/README.md)
|
||||
- [MS Learn에서 책임 있는 AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste)
|
||||
|
||||
## 추가 자료
|
||||
- [MS Learn의 책임 있는 AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste)
|
||||
## 기타
|
||||
- [멀티모달 네트워크](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/README.md)
|
||||
- [CLIP](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/Clip.ipynb)
|
||||
- DALL-E
|
||||
- VQ-GAN
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**면책 조항**:
|
||||
이 문서는 AI 번역 서비스 [Co-op Translator](https://github.com/Azure/co-op-translator)를 사용하여 번역되었습니다. 정확성을 위해 최선을 다하고 있지만, 자동 번역에는 오류나 부정확성이 포함될 수 있습니다. 원본 문서의 원어 버전을 권위 있는 출처로 간주해야 합니다. 중요한 정보의 경우, 전문적인 인간 번역을 권장합니다. 이 번역 사용으로 인해 발생하는 오해나 잘못된 해석에 대해 책임을 지지 않습니다.
|
||||
이 문서는 AI 번역 서비스 [Co-op Translator](https://github.com/Azure/co-op-translator)를 사용하여 번역되었습니다. 정확성을 위해 노력하고 있으나, 자동 번역에는 오류나 부정확성이 포함될 수 있음을 유의해 주시기 바랍니다. 원본 문서는 해당 언어로 된 원본 문서를 권위 있는 자료로 간주해야 합니다. 중요한 정보의 경우 전문 번역가의 번역을 권장합니다. 본 번역 사용으로 인해 발생하는 어떠한 오해나 잘못된 해석에 대해 책임을 지지 않습니다.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
Loading…
Reference in New Issue