Читать книгу Deep Learning for Computer Vision with SAS - Robert Blanchard - Страница 4

Contents

Contents

About This Book

About The Author

Chapter 1: Introduction to Deep Learning

Introduction to Neural Networks

Biological Neurons

Deep Learning

Traditional Neural Networks versus Deep Learning

Building a Deep Neural Network

Demonstration 1: Loading and Modeling Data with Traditional Neural Network Methods

Demonstration 2: Building and Training Deep Learning Neural Networks Using CASL Code

Chapter 2: Convolutional Neural Networks

Introduction to Convoluted Neural Networks

Input Layers

Convolutional Layers

Using Filters

Padding

Feature Map Dimensions

Pooling Layers

Traditional Layers

Demonstration 1: Loading and Preparing Image Data

Demonstration 2: Building and Training a Convolutional Neural Network

Chapter 3: Improving Accuracy

Introduction

Architectural Design Strategies

Image Preprocessing and Data Enrichment

Transfer Learning Introduction

Domains and Subdomains

Types of Transfer Learning

Transfer Learning Biases

Transfer Learning Strategies

Customizations with FCMP

Tuning a Deep Learning Model

Chapter 4: Object Detection

Introduction

Types of Object Detection Algorithms

Data Preparation and Prediction Overview

Normalized Locations

Multi-Loss Error Function

Error Function Scalars

Anchor Boxes

Final Convolution Layer

Demonstration: Using DLPy to Access SAS Deep Learning Technologies: Part 1

Demonstration: Using DLPy to Access SAS Deep Learning Technologies: Part 2

Chapter 5: Computer Vision Case Study

References