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'..

Week 1: Advanced GAN Architectures Goal: Understand progressive training and high-resolution generation Study: Progressive GAN paper and architecture Multi-scale training concepts Gradient penalty vs weight clipping Implementation: Code Progressive GAN from scratch Train on CelebA dataset (64x64 → …

📚 Beginner Level (4.5 months) 1. Digit Recognition System (Read Blog) Project Setup Setup development environment Create GitHub repository Setup basic project structure Core Implementation Data preprocessing pipeline Basic model implementation (kNN/SVM) Neural network implementation Model evaluation …

This Colab notebook demonstrates how to build an dog or cat image classifier using the fastai library.