We’ll walk through building and comparing three different neural network architectures for classifying fashion items using the Fashion MNIST dataset.

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.