PyTorch Tutorials - Complete Beginner Course

course description

A Beginner of PyTorch by Patrick Loeber

1.

5:45

PyTorch Tutorial 01 - Installation

I show you how I install PyTorch on my Mac using Anaconda. Installation on Linux or Windows can be done almost the same way.
2.

18:28

PyTorch Tutorial 02 - Tensor Basics
3.

15:54

PyTorch Tutorial 03 - Gradient Calculation With Autograd
4.

13:13

PyTorch Tutorial 04 - Backpropagation - Theory With Example
5.

17:31

PyTorch Tutorial 05 - Gradient Descent with Autograd and Backpropagation
6.

14:16

PyTorch Tutorial 06 - Training Pipeline: Model, Loss, and Optimizer
7.

12:11

PyTorch Tutorial 07 - Linear Regression
8.

18:22

PyTorch Tutorial 08 - Logistic Regression
9.

15:27

PyTorch Tutorial 09 - Dataset and DataLoader - Batch Training
10.

10:43

PyTorch Tutorial 10 - Dataset Transforms
11.

18:17

PyTorch Tutorial 11 - Softmax and Cross Entropy
12.

10:00

PyTorch Tutorial 12 - Activation Functions
13.

21:34

PyTorch Tutorial 13 - Feed-Forward Neural Network
14.

22:07

PyTorch Tutorial 14 - Convolutional Neural Network (CNN)
15.

14:55

PyTorch Tutorial 15 - Transfer Learning
16.

25:41

PyTorch Tutorial 16 - How To Use The TensorBoard
17.

18:24

PyTorch Tutorial 17 - Saving and Loading Models
18.

41:52

Create & Deploy A Deep Learning App - PyTorch Model Deployment With Flask & Heroku
19.

38:57

PyTorch RNN Tutorial - Name Classification Using A Recurrent Neural Net
20.

15:52

PyTorch Tutorial - RNN & LSTM & GRU - Recurrent Neural Nets
21.

28:02

PyTorch Lightning Tutorial - Lightweight PyTorch Wrapper For ML Researchers
22.

13:29

PyTorch LR Scheduler - Adjust The Learning Rate For Better Results