How to Implement Deep Learning Papers | DDPG Tutorial

I'll show you how I went from the deep deterministic policy gradients paper to a functional implementation in Tensorflow. This process can be applied to any deep learning paper (computer vision, natural language processing, generative adversarial networks, etc.), not just deep reinforcement learning.

#DDPG #Tensorflow #DeepLearning

Learn how to turn deep reinforcement learning papers into code:

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Deep Q Learning:
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Actor Critic Methods:
https://www.udemy.com/course/actor-cr...

Curiosity Driven Deep Reinforcement Learning
https://www.udemy.com/course/curiosit...

Natural Language Processing from First Principles:
https://www.udemy.com/course/natural-...
Reinforcement Learning Fundamentals
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Here are some books / courses I recommend (affiliate links):
Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W
Grokking Deep Learning: https://bit.ly/3yJ14gT
Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql

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