Deep Learning With PyTorch – Full Course

In this course you learn all the fundamentals to get started with PyTorch and Deep Learning.
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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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