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PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Home Page: https://blog.paperspace.com/pytorch-101-understanding-graphs-and-automatic-differentiation

Jupyter Notebook 100.00%
pytorch pytorch-tutorial deep-learning neural-networks 101 sample-code

pytorch-101-tutorial-series's Introduction

PyTorch-101-Tutorial-Series

This Github Repo contains the supporting Jupyter-notebooks for the Paperspace blog series on PyTorch covering everything from the basic building blocks all the way to building custom architectures. The series has following parts

1-Click Notebooks

Blog Post 1-Click Notebook
PyTorch 101 Part 1 - Understanding Computation Graphs and Autograd Gradient
PyTorch 101 Part 2 - Building Neural Networks With PyTorch Gradient
PyTorch 101 Part 3 - Going Deeper with PyTorch Gradient
PyTorch 101 Part 4 - Memory Management and Using Multiple GPUs Gradient
PyTorch 101 Part 5 - Understanding Hooks Gradient

The notebooks and links for the rest of the parts will be updated as and when they are published.

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