EvoClass
PolyU COMP5511 • Lab 8

Scaling Up (CIFAR-10 & GPU Acceleration)

The Scalability Problem

  • The Situation: Our Support Vector Machine (SVM) and Convolutional Neural Network (CNN) both did pretty well on MNIST.
  • The Illusion: MNIST is considered a "solved" problem. It's too easy. Black and white, perfectly centered digits don't represent the complexity of the real world.
  • The Goal: We need to test our models on a much harder dataset to truly see why Deep Learning revolutionized AI and surpassed classic ML techniques.
A high-quality educational diagram showing a stark contrast between simple, perfectly centered, black-and-white handwritten digits (like MNIST) on the left side of the graphic, and vibrant, complex, messy real-world color photos of animals and vehicles (like CIFAR-10) on the right side. A glowing arrow represents the transition from simple toy problems to difficult real-world AI challenges. Minimalist academic style, clean vector art.
MNIST (Solved) vs Real-World Data
Open Colab Notebook
Session
Lab 8
Date
2026-03-09
Instructor
Ran Cheng
Duration
60 Mins