Pytorch-Beginner-Tutorials-Using-Jupyter-Notebook-Lab

Concepts and details about using PyTorch for deep learning, along with concrete examples, are provided.
Concepts and detail about the turtorials are explained within .ipynb tutorial notebook.

Runtime Environment Configuration

Library	Version
Python	3.9.16
Conda	4.11.0
Pytorch	2.0.1
Numpy	1.24.3

Tutorials

1. Autogradiant
2. Backpropagation
3. Gradient Using Numpy and Pytorch
4. Linear Regression
5. Dataset and Data Loader
6. Data Transforms
7. Softmax and Crossentropy
8. Activation Functions
9. Feed Forward Neural Network
10. CNN
11. Transfer Learning
12. RNN From Scratch For Names Classification
13. RNN GRU LSTM