Building Blocks of Neural Networks

Understanding the basic building blocks of a neural network, such as tensors, tensor operations, and gradient descents, is important for building complex neural networks. In this chapter, we will build our first Hello world program in neural networks by covering the following topics:

• Installing PyTorch
• Implementing our first neural network
• Splitting the neural network into functional blocks
• Walking through each fundamental block covering tensors, variables, autograds, gradients, and optimizers
• Loading data using PyTorch