دانلود کتاب Deep Learning for Computer Vision with SAS: An Introduction

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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