Lecture 11: Image Data Processing (Part II)

(Last updated: Mar 20, 2023)

Preparation

Read the following article and interact with the visualization to understand image filtering:

• Image Kernels Explained Visually

Read the following article and interact with the visualization to understand Convolutional Neural Network:

• CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

Interact with the following website to check a live training demo using the MNIST dataset:

• ConvNetJS MNIST demo

Materials

• Slides for Lecture 10-1: Image Data Processing (Image Filtering)

• Slides for Lecture 10-2: Image Data Processing (Convolutional Neural Network)

Additional Resources

The following documentations explains the convolutional layer in great details:

• Dumoulin, V., & Visin, F. (2016). A guide to convolution arithmetic for deep learning. arXiv preprint arXiv:1603.07285.

• Convolution arithmetic tutorial

Below are tutorials of Convolutional Neural Network:

• Convolutional Neural Networks tutorial (more technical)

• Convolutional Neural Networks tutorial (more intuitive)

The following webpage has many examples of Computer Vision applications:

• The 100 Most Popular Computer Vision Applications in 2023

The following video explains how to build ChatGPT:

• Let’s build GPT: from scratch, in code, spelled out