Lecture 10: Image Data Processing (Part II)

(Last updated: Mar 8, 2024)

This lecture introduces the theory for image data processing, including the convolution operation, image filtering, and convolutional neural network.

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.

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