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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