Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more cover
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
by Maxim Lapan
ISBN: 1788834240
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sytelus · 2020-01-01 · Original thread
In following order:

1. Michael Nielson's book: http://neuralnetworksanddeeplearning.com/

2. Stanford CS231n course: http://cs231n.stanford.edu/

3. DRL hands on book: https://www.amazon.com/Deep-Reinforcement-Learning-Hands-Q-n...

After this churn through research papers or medium articles on conv net architecture surveys, batchnorm, LSTM, RNN, transformers, bert. Write lots of code, try things out.