Deep Learning 2018 Series V: Optimization for Training Deep Models

Apr 28, 2018 · Houston, United States of America

We are going to learn chapter 8 in the book "Deep Learning" by Ian, Yoshua and Aaron. We will learn the concepts in optimization and tricks to train a deep neural net! It's recommended to read the corresponding chapters beforehand and bring questions to meetup. You can find the book and other related contents here:

The deep learning series is planned as follows (subject to change):
1. Introduction (Chapter 1), from neural network to deep learning and future trends
2. Linear algebra and probability (Chapter 2&3)
3. Numerical Computation and machine learning basics (Chapter 4&5)
4. Deep forward neural nets and regularization (Chapter 6&7)
5. Optimization for training models (Chapter 8)
6. Convolutional Networks (Chapter 9)
7. Sequence modeling I (Chapter 10)
8. Sequence modeling II (Chapter 10)

This meetup will be led by Zhenzhen Zhong and Yan Xu. If anyone wants to lead or collaborate on one session, feel free to contact Yan!

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