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

Get my Free NumPy Handbook:
https://www.python-engineer.com/numpybook

Code: https://github.com/python-engineer/pytorchTutorial

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

#pytorch #python #deep-learning #machine-learning #data-science