Introduction to PyTorch and Deep Learning II - Deep Neural Networks & Training in PyTorch - Tutorial

Welcome to the Introduction to PyTorch and Deep Learning online class, which will teach you some basic topics in machine learning.

The tutorial begins with a brief introduction to PyTorch and its main components, including tensors, ml models.

We then try to solve the XOR problem with pytorch and a small self-made neural network. While doing that, we dive into the implementation details of the neural network in PyTorch, including how to define the network architecture using the nn.Module class, how to specify the loss function and optimizer, and how to train the network.

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