Deep Learning for Computer Vision with SAS

Chapter 2: Convolutional Neural Networks

Introduction to Convoluted Neural Networks

Input Layers

Convolutional Layers

Using Filters

Padding

Feature Map Dimensions

Pooling Layers

Traditional Layers

Fully Connected Layer

Output Layer

Types of Skip-Layer Connections

Demonstration 1: Loading and Preparing Image Data

Demonstration 2: Building and Training a Convolutional Neural Network

Examining the Image Data and Specifying the Model

Fitting and Assessing the Model

Scoring with the Fitted Model

Introduction to Convoluted Neural Networks

A convolutional neural network (CNN) is a type of neural network that is viewed to be computationally and statistically efficient (Goodfellow, Bengio, and Courville 2017). CNNs have popularized the field of computer ...