Computer Vision

In this module, we will give sight to machines. You will learn the architecture that powers everything from Face ID to Self-Driving Cars: the Convolutional Neural Network (CNN).

We will move from the basic building blocks (Convolutions, Pooling) to the giants of the industry (ResNet, Inception) and finally learn how to use these giants for your own tasks using Transfer Learning.

Module Contents

  1. CNNs: The Visual Cortex of AI

    Understand the core operations: Convolution, Stride, Padding, and Pooling. Interact with a live convolution visualizer.

  2. Famous Architectures: From LeNet to ResNet

    Trace the evolution of Deep Learning through its architectures. Compare LeNet, AlexNet, VGG, Inception, and ResNet.

  3. Transfer Learning: Standing on Giants

    Learn why training from scratch is a waste of time. Master Feature Extraction and Fine-Tuning with an interactive simulator.

  4. Module Review

    Test your knowledge with flashcards, grab the cheat sheet, and prepare for the next module.

Module Chapters