From be5720d2c5a2ff9cb2dfb5ebebeb0d5f44b1b2ff Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Wed, 25 May 2022 10:13:14 -0400 Subject: [PATCH] regenerating quizzes and adding video link --- README.md | 5 +---- .../src/assets/translations/en/lesson-11.json | 6 +++--- .../src/assets/translations/en/lesson-12.json | 4 ++-- .../src/assets/translations/en/lesson-14.json | 2 +- .../src/assets/translations/en/lesson-15.json | 4 ++-- .../src/assets/translations/en/lesson-20.json | 4 ++-- etc/quiz-src/questions-en.txt | 20 +++++++++---------- 7 files changed, 21 insertions(+), 24 deletions(-) diff --git a/README.md b/README.md index eee07baf..112f1a0e 100644 --- a/README.md +++ b/README.md @@ -12,13 +12,10 @@ # Artificial Intelligence for Beginners - A Curriculum -> **This curriculum is being actively developed on GitHub. Look into [contributing](/etc/CONTRIBUTING.md) to see which areas require active contributions. Please consider this a pre-release, and do not actively use in the classroom yet!** - |![ Sketchnote by [(@girlie_mac)](https://twitter.com/girlie_mac) ](./lessons/sketchnotes/ai-overview.png)| |:---:| | AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ | - Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about **Artificial Intelligence**. In this curriculum, you will learn: @@ -139,7 +136,7 @@ However, if you would like to take the course as a self-study project, we sugges ## Meet the Team -[![Promo video](/lessons/sketchnotes/ai-for-beginners.png)](https://youtu.be/Tj1XWrDSYJU "Promo video") +[![Promo video](/lessons/sketchnotes/ai-for-beginners.png)](https://youtu.be/m2KrAk0cC1c "Promo video") > 🎥 Click the image above for a video about the project and the folks who created it! diff --git a/etc/quiz-app/src/assets/translations/en/lesson-11.json b/etc/quiz-app/src/assets/translations/en/lesson-11.json index 8f791e0b..1df15a7d 100644 --- a/etc/quiz-app/src/assets/translations/en/lesson-11.json +++ b/etc/quiz-app/src/assets/translations/en/lesson-11.json @@ -22,7 +22,7 @@ ] }, { - "questionText": "With object detection, we don't just get class of an object, but also it's ____", + "questionText": "With object detection, we don't just get the class of an object, but also its ____", "answerOptions": [ { "answerText": "shape", @@ -39,7 +39,7 @@ ] }, { - "questionText": "How many objects can an object detection model can detect?", + "questionText": "How many objects can an object detection model detect?", "answerOptions": [ { "answerText": "one", @@ -62,7 +62,7 @@ "title": "Object Detection: Post Quiz", "quiz": [ { - "questionText": "Object detection model give us", + "questionText": "An Object detection model gives us", "answerOptions": [ { "answerText": "object class", diff --git a/etc/quiz-app/src/assets/translations/en/lesson-12.json b/etc/quiz-app/src/assets/translations/en/lesson-12.json index 9da06716..e306372a 100644 --- a/etc/quiz-app/src/assets/translations/en/lesson-12.json +++ b/etc/quiz-app/src/assets/translations/en/lesson-12.json @@ -9,7 +9,7 @@ "title": "Segmentation: Pre Quiz", "quiz": [ { - "questionText": "There are ____ segmentation algorithms?", + "questionText": "How many segmentation algorithm are there?", "answerOptions": [ { "answerText": "1", @@ -66,7 +66,7 @@ "title": "Segmentation: Post Quiz", "quiz": [ { - "questionText": "____ extracts features from input image", + "questionText": "____ extracts features from an input image", "answerOptions": [ { "answerText": "decoder", diff --git a/etc/quiz-app/src/assets/translations/en/lesson-14.json b/etc/quiz-app/src/assets/translations/en/lesson-14.json index 7b401fea..d950396d 100644 --- a/etc/quiz-app/src/assets/translations/en/lesson-14.json +++ b/etc/quiz-app/src/assets/translations/en/lesson-14.json @@ -9,7 +9,7 @@ "title": "Embeddings: Pre Quiz", "quiz": [ { - "questionText": "Embedding is to represent words with _____ dimensional dense vectors", + "questionText": "Embedding is used to represent words with _____ dimensional dense vectors", "answerOptions": [ { "answerText": "lower", diff --git a/etc/quiz-app/src/assets/translations/en/lesson-15.json b/etc/quiz-app/src/assets/translations/en/lesson-15.json index 2d0201e2..6cb127da 100644 --- a/etc/quiz-app/src/assets/translations/en/lesson-15.json +++ b/etc/quiz-app/src/assets/translations/en/lesson-15.json @@ -83,7 +83,7 @@ ] }, { - "questionText": "When we train CBoW model, we obtain", + "questionText": "When we train a CBoW model, we obtain", "answerOptions": [ { "answerText": "A model that can generate text", @@ -100,7 +100,7 @@ ] }, { - "questionText": "CBoW model is based on", + "questionText": "The CBoW model is based on", "answerOptions": [ { "answerText": "Dense neural network", diff --git a/etc/quiz-app/src/assets/translations/en/lesson-20.json b/etc/quiz-app/src/assets/translations/en/lesson-20.json index 14d1da28..aef9cbbe 100644 --- a/etc/quiz-app/src/assets/translations/en/lesson-20.json +++ b/etc/quiz-app/src/assets/translations/en/lesson-20.json @@ -9,7 +9,7 @@ "title": "Language Models: Pre Quiz", "quiz": [ { - "questionText": "What is GPT stands for?", + "questionText": "What does GPT stand for?", "answerOptions": [ { "answerText": "Generic Pre-Trained network", @@ -96,7 +96,7 @@ ] }, { - "questionText": "Which metric can be used to estimate quality of a language model?", + "questionText": "Which metric can be used to estimate the quality of a language model?", "answerOptions": [ { "answerText": "accuracy", diff --git a/etc/quiz-src/questions-en.txt b/etc/quiz-src/questions-en.txt index 27cd3d77..4153865e 100644 --- a/etc/quiz-src/questions-en.txt +++ b/etc/quiz-src/questions-en.txt @@ -262,17 +262,17 @@ Lesson 11B Object Detection: Pre Quiz * Neural networks can only be used to classify images - true + false -* With object detection, we don't just get class of an object, but also it's ____ +* With object detection, we don't just get the class of an object, but also its ____ - shape + location - type -* How many objects can an object detection model can detect? +* How many objects can an object detection model detect? - one - two + any number Lesson 11E Object Detection: Post Quiz -* Object detection model give us +* An Object detection model gives us - object class - bounding box + both class and bounding box @@ -286,7 +286,7 @@ Lesson 11E Object Detection: Post Quiz + IoU Lesson 12B Segmentation: Pre Quiz -* There are ____ segmentation algorithms? +* How many segmentation algorithm are there? - 1 + 2 - 3 @@ -300,7 +300,7 @@ Lesson 12B Segmentation: Pre Quiz - generator, discriminator Lesson 12E Segmentation: Post Quiz -* ____ extracts features from input image +* ____ extracts features from an input image - decoder - generator + encoder @@ -340,7 +340,7 @@ Lesson 13E Text Representation: Post Quiz - false Lesson 14B Embeddings: Pre Quiz -* Embedding is to represent words with _____ dimensional dense vectors +* Embedding is used to represent words with _____ dimensional dense vectors + lower - higher - average @@ -383,11 +383,11 @@ Lesson 15E Language Modeling: Post Quiz + CBoW - Skip-gram - N-Gram -* When we train CBoW model, we obtain +* When we train a CBoW model, we obtain - A model that can generate text + Word2Vec embedding vectors - Text classification model -* CBoW model is based on +* The CBoW model is based on + Dense neural network - Convolutional neural network - Recurrent neural network @@ -500,7 +500,7 @@ Lesson 19E Named Entity Recognition: Post Quiz + many-to-many Lesson 20B Language Models: Pre Quiz -* What is GPT stands for? +* What does GPT stand for? - Generic Pre-Trained network + Generative Pre-trained Transformers - Generic Positional Text @@ -521,7 +521,7 @@ Lesson 20E Language Models: Post Quiz - Zero-shot learning - Few-shot learning + Both -* Which metric can be used to estimate quality of a language model? +* Which metric can be used to estimate the quality of a language model? - accuracy - recall + perplexity