[CS285: Deep RL 2023] Lecture 3, PyTorch and Neural Nets

 

Goal of this course

Train an agent to perform useful tasks

What is PyTorch?

Python library for

• Defining neural networks
• Automatically computing gradients
• And more! (datasets, optimizers, GPUs, etc.)

Numpy

http://colab.research.google.com/drive/12nQiv6aZHXNuCfAAuTjJenDWKQbIt2Mz#scrollTo=U5rl_7Kx5vk8

PyTorch Basics

https://colab.research.google.com/drive/1hIVRi1fb7baLKoPw9PNqbkhpjLmv9DaA#scrollTo=xkOqj3t3ovIU

Example: Regression Task

https://colab.research.google.com/drive/1hIVRi1fb7baLKoPw9PNqbkhpjLmv9DaA#scrollTo=krC4gIg--cwm

PyTorch Advanced

https://colab.research.google.com/drive/1hIVRi1fb7baLKoPw9PNqbkhpjLmv9DaA#scrollTo=N7Faplaeu1Ur

 

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Youtube Link

https://youtu.be/AOypIa_8RXg?si=y9n4pcMzFYpJRNZ0

 

https://youtu.be/kPa6hU9prg4?si=MJBnRJl8wImj2r10

 

https://youtu.be/ubSsUJbLkwM?si=Sym_Zp71kJ5YR_BU

 

https://youtu.be/dsNtkT7LF8M?si=uSxf0lZuuf7UwwU1

 

https://youtu.be/Px3dQiv6R7E?si=f6pKDN-PZn943yji