Thread by @ishandutta0098

I have written 1000s of lines of code and built multiple projects in PyTorch.

On @PyTorch 's 5 year completion, I am sharing Top 10 resources you can use to learn this awesome Deep Learning framework from scratch!

A Visual Thread (with links)🧵👇

1️⃣ PyTorch Official Tutorials -

PyTorch has some extensive and clear tutorials in all domains like Text, Audio, Image, Video, Reinforcement Learning and so on.

Link👉bit.ly/3IswPPX

2️⃣ Deep Learning with PyTorch: Zero to GANs

Taught by @aakashns,

this @YouTube playlist teaches you creating a Linear Regression model in PyTorch all the way to creating a GAN to generate anime faces!

Link👉bit.ly/3fF6WzR

3️⃣ PyTorch Tutorials - Complete Beginner Course:

In this exhaustive @YouTube playlist, @python_engineer takes you through

basics of tensors, gradients,

models like Logistic Regression/RNN/GRU and

introduces PyTorch Lightning as well.

Link👉bit.ly/33Sa6O2

4️⃣ PyTorch Tutorials

This paylist is for people who love Deep Learning Research.

@aladdinpersson starts from the basics,

then moves through architecture by architecture in order of complexity

and provides basic paper explanations as well!

Link👉bit.ly/3IqPzzh

5️⃣ pytorch-tutorial:

A beautifully structured @github repository by @yunjey_choi

He has divided the tutorials in 4 sections -

Beginner, Intermediate, Advanced & Utilities.

It is recommended after completing the official PyTorch Tutorial.

Link👉bit.ly/3GLF6xD

6️⃣ Dive into Deep Learning:

This is an interactive deep learning book with code, math, and discussions.

The code is available in NumPy/MXNet, PyTorch, and TensorFlow.

It is recommended to start after having prior experience with PyTorch.

Link👉bit.ly/3ryZfAS

7️⃣ Deep Learning for Coders with fastai and PyTorch:

A legendary book on @PyTorch and @fastdotai by @jeremyphoward and @GuggerSylvain

It dives progressively into deep learning theory and

you gain a complete understanding of the algorithms

Link👉bit.ly/3tGocNq

8️⃣ Natural Language Processing with PyTorch:

This book provides you with a solid grounding in NLP and Deep Learning

It demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face.

Link👉bit.ly/3FJoLbB

9️⃣ Modern Computer Vision with PyTorch:

One book which will hold your hands and make you fall in love with Computer Vision.

50+ PyTorch real world Computer Vision projects, all in one place!

Link👉bit.ly/3Im577b

🔟Deep Learning with PyTorch:

Written by PyTorch’s creator and key contributors this book teaches you to develop deep learning models in a familiar Pythonic way.

Several PyTorch implementation based projects are available in this book.

Link👉bit.ly/3qImzgk

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