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Deep Learning With PyTorch - Full Course

Python Engineer via YouTube

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Overview

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This course introduces the fundamentals of PyTorch and deep learning, progressing from tensors, autograd, backpropagation, and gradient descent to training pipelines, neural networks, CNNs, transfer learning, TensorBoard, and model saving.

Syllabus

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

Taught by

Python Engineer

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