Week 9: Recap Week

Recap week - the most important concepts of the first 8 weeks will be reviewed

Lecture

Applications in NLP (at the end of the lecture; self-study)

Demos & notebooks

Recap of Supervised Machine Learning: Regression

Recap of Supervised Learning: Classification

Recap of Stochastic Gradient Descent

Feed-forward networks

Sequence Modeling with Neural Networks (RNNs, LSTMs)

References

Recap MaterialsDiscussion of the previous exercises (with TA)