Learn to deploy AI on edge devices! We build a baseline YOLOv11n model for visual classification and benchmark its performance, setting the stage for crucial optimization for Raspberry Pi, Jetson, and more.

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.