PyTorch Essential Training: Deep Learning

Introduction

• Welcome
• What you should know before watching this course

1. Fashion MNIST and Neural Networks

• Working with the Fashion MNIST dataset
• Neural network intuition

2. Working with Classes and Tensors

• Classes
• Tensors
• Training the network

3. Working with Loss, Autograd, and Optimizers

• Loss
• Autograd
• Autograd with tensors
• Optimizers
• Using optimizers

4. Troubleshooting and CPU/GPU Usage

• Troubleshooting
• CPU to GPU
• Validation

Conclusion

• Future project ideas