Lecture 6.1: Introduction to Convolutional Neural Networks
Lecture 6.1: Introduction to Convolutional Neural Networks
Outline of the Lecture:
1. Overview
2. Basics
3. Fundamental operation
4. Practical considerations
5. Case study
An interesting quote to cheer you up
Generated image won art prize
CNN - example: depth estimation
Super-resolution
Convolutional Neural Network (CNN)
History
First Strong Results
Today: CNNs are everywhere
CNN - Not just images
General CNN architecture
What is a (digital) image?
Filtering - recap
Correlation (linear relationship) - recap
Convolutional - recap
Sobel Edge Detector
Multi-layer perceptron (MLP) - recap
Learning phases
Neural Networks vs CNN