Building a Neural Network with PyTorch

Nov 22, 2023 ·

This article is about how to build a neural network with PyTorch. The author provides a step-by-step guide on how to use the PyTorch library to create and train a basic neural network. He begins by discussing some of the basics of neural networks, such as weights, biases, and activation functions. He then explains how to define a neural network using PyTorch’s classes and methods, such as nn.Module, forward() and init(). He then outlines how to perform backpropagation using the autograd module and stochastic gradient descent. After that, he discusses how to use torchvision for data loading and preprocessing and torchtext for text preprocessing. Lastly, he provides examples of how to use the model in code. With this information, readers can learn how to build a simple neural network and use it to solve real-world problems.