Here's my take on Fast AI Course

Some of the notebooks are not being rendered on github because of being large I suggest opening Notebooks on

• nbviewer for quick preview.
• Binder if you wanna play with it

I've worked on self implementation/projects based on the chapters of the book

Chapter wise Notebooks/progression

1. Intro to DL, High Level Training: Questionnaire ✅

   • Notebook /fastbook-solved/01-fastaiintro.ipynb
   • Project: Mandarin vs Japanese Identifier

2. Deployment: Questionnaire ✅

   • Notebook /fastbook-solved/02_Production.ipynb
   • Project Pokemon Classifier /self-implementation/03-pokemon-classifier

3. Under the hood-Digit Classifier: Questionnaire ✅

   • Notebook /fastbook-solved/03_NN_MNIST.ipynb
   • INPROGRESS Project /self-implementation/04-MulticlassMNISTClassifier.ipynb

4. Collaborative Filtering:

   • Notebook /fastbook-solved/07-collaborative-filtering-movielens-recommendation.ipynb

5. Tabular Modelling

   • Notebook One-R,Decision Trees, Random Forest /fastbook-solved/06_One-R_Decision-trees_Random-forests.ipynb
   • Notebook Using FastAI Framework /fastbook-solved/Working-with-framework-tabular-analysis.ipynb
   • Project /self-implementation/05-my-first-pytorch-RentPrediction/my-first-pytorch-RentPrediction.ipynb

6. NLP Deep Dive - RNN Questionnaire ✅

   • Notebook
   • Project Sentimental Analysis (Emotion Classifier) /self-implementation/06-nlp-emotion-classifier.ipynb

7. CNN

   • Notebook /fastbook-solved/ch13_CNN.ipynb