Module 3

1 Assignment

1. Part1: Introduction to Pytorch

   • Overview
   • Loading the data
   • Creating the model class
   • Instantiating the model
   • Training
   • Evaluation

2. Part1: Pytorch notebook

3. Part2: Word Embeddings

4. Part3: Word2Vec model

   • CBOW(Continous bag of words)
   • Skip-Gram

5. Part4: Word2Vec notebook

6. Part5: Subsampling

7. Part5: Subsampling Notebook

8. Part6: Adding up all for Skip-Gram Model

9. Part7: Assignment