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Classroom Contents
Deep Learning With PyTorch - Full Course
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- 1 - Intro
- 2 - 1 Installation
- 3 - 2 Tensor Basics
- 4 - 3 Autograd
- 5 - 4 Backpropagation
- 6 - 5 Gradient Descent
- 7 - 6 Training Pipeline
- 8 - 7 Linear Regression
- 9 - 8 Logistic Regression
- 10 - 9 Dataset and Dataloader
- 11 - 10 Dataset Transforms
- 12 - 11 Softmax and Crossentropy
- 13 - 12 Activation Functions
- 14 - 13 Feed Forward Net
- 15 - 14 CNN
- 16 - 15 Transfer Learning
- 17 - 16 Tensorboard
- 18 - 17 Save & Load Models
