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.
Library | Version |
---|---|
Python | 3.9.16 |
Conda | 4.11.0 |
Pytorch | 2.0.1 |
Numpy | 1.24.3 |
- Autogradiant
- Backpropagation
- Gradient Using Numpy and Pytorch
- Linear Regression
- Dataset and Data Loader
- Data Transforms
- Softmax and Crossentropy
- Activation Functions
- Feed Forward Neural Network
- CNN
- Transfer Learning
- RNN From Scratch For Names Classification
- RNN GRU LSTM