This post explores the process of creating a text classification model using PyTorch and the AG News dataset. We’ll cover every stage from dataset loading to model evaluation, providing a comprehensive understanding of text classification and deep learning concepts.

This project implements a very basic neural network to classify handwritten digits from the MNIST dataset using PyTorch.

This notebook is a exercise notebook from ‘https://www.learnpytorch.io/02_pytorch_classification/#1-make-classification-data-and-get-it-ready'..