Autoencoder In PyTorch - Theory & Implementation

In this Deep Learning Tutorial we learn how Autoencoders work and how we can implement them in PyTorch.

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Resources:
https://www.cs.toronto.edu/~lczhang/360/lec/w05/autoencoder.html

Code: https://github.com/python-engineer/pytorch-examples

More PyTorch Tutorials:
Complete Beginner Course: https://youtu.be/c36lUUr864M
Dataloader: PXOzkkB5eH0
Transforms: https://youtu.be/X_QOZEko5uE
Model Class: https://youtu.be/VVDHU_TWwUg
CNN: https://youtu.be/pDdP0TFzsoQ

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Timeline:
00:00 - Theory
02:58 - Data Loading
05:30 - Simple Autoencoder
15:02 - Training Loop
17:00 - Plot Images
19:00 - CNN Autoencoder
29:12 - Exercise For You

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Видео Autoencoder In PyTorch - Theory & Implementation канала Python Engineer