Training Deep Neural Networks

This week, we read Training Deep Neural Networks, Chapter 5 of the textbook. This chapter outlines some of the fundamental problems in training deep neural networks, like the vanishing and exploding gradient problems. This chapter gave us a good intuition why training all layers at the same speed is difficult, and why deep learning is an engineering science.

We also read A Recipe for Training Neural Networks, Andrej Karpathy’s blog post. This gives some practical advice for getting deep neural networks to train well: to converge quickly to good solutions.

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