Let me explain PyTorch in 7 Concepts
PyTorch is THE essential deep learning library for both research and industrial projects. This comprehensive PyTorch tutorial provides a complete guide to all its key concepts and features, from the basics of tensors and automatic differentiation to building and training advanced deep neural networks for computer vision and natural language processing tasks. There is also mention of customization with different forms of loss functions, optimizers, and guidance for further studies.
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Chapters (9)
Intro
1:40
Tensors
5:36
Automatic Differentiation
13:16
Linear Models & MLP
21:08
Working with Images & Convolution
26:51
Working with Text, RNNs, Attention
30:08
Customization - Losses, Optimizers, Torch Distributions
35:44
Logging & Deployment
39:56
Outro & Additional Libraries
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