Deep Learning for Computer Vision with SAS

Chapter 3: Improving Accuracy

Introduction

Architectural Design Strategies

Spatial Exploration

Creating Blocks

Comparing Structural Depth to Cardinality

Image Preprocessing and Data Enrichment

Data Augmentation Techniques

Process Image Action

Gaussian Filters

Sharpen

Inverting Pixels

Pyramid Down

Rotating

Flipping

Transfer Learning Introduction

Domains and Subdomains

Tasks

Types of Transfer Learning

Heterogenous Transfer Learning and Domain Adaptation

Transfer Learning Biases

Frequency Bias

Transfer Learning Strategies

Supervised Pretraining

Unsupervised Pretraining

Customizations with FCMP

Tuning a Deep Learning Model

Selecting Hyperparameters

Sampling the Hyperparameter Space

Hyperparameter Selection

Hyperband Properties

Introduction

Most ...