1. Classification setup and notation

2. Classification intuition

3. Details of the softmax classifier

4. Training with softmax and cross-entropy loss

5. Background: What is “cross entropy” loss/error?

6. Classification over a full dataset

7. Traditional ML optimization

8. Neural Network Classifiers

9. Neural Nets for the Win!

10. Classification difference with word vectors

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