A Jupyter Notebook File outlining the exploration of Python's PyTorch framework for deep learning for a certified course on DL.
The topics covered include:
- Fashion MNIST and Neural Networks
- Working with Classes and Tensors
- Working with Loss, Autograd, and Optimizers
- Troubleshooting with Python Debugger
- CPU/GPU Usage with
cuda