In this course you learn all the fundamentals to get started with PyTorch and Deep Learning.
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Code: https://github.com/patrickloeber/pytorchTutorial
Playlist with single videos: https://www.youtube.com/watch?v=EMXfZB8FVUA&list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4
Dataset for Transfer Learning tutorial: https://download.pytorch.org/tutorial/hymenoptera_data.zip
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Timeline:
00:00 - Intro
01:42 - 1 Installation
07:30 - 2 Tensor Basics
26:02 - 3 Autograd
42:00 - 4 Backpropagation
55:18 - 5 Gradient Descent
1:12:53 - 6 Training Pipeline
1:27:14 - 7 Linear Regression
1:39:30 - 8 Logistic Regression
1:57:56 - 9 Dataset and Dataloader
2:13:28 - 10 Dataset Transforms
2:24:14 - 11 Softmax and Crossentropy
2:42:36 - 12 Activation Functions
2:52:40 - 13 Feed Forward Net
3:14:18 - 14 CNN
3:36:30 - 15 Transfer Learning
3:51:30 - 16 Tensorboard
4:17:14 - 17 Save & Load Models
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