Chapter 17 Contents
Overview
Section 17.1: Convolution Property of Training with Jitter
Section 17.2: Error Regularization and Training with Jitter
Section 17.3: Training with Jitter and Sigmoid Scaling
Section 17.4: Extension to General Layered Neural Networks
Section 17.5: Remarks
Section 17.6: Further Examples
Section 17.6.1: Static Noise
Section 17.6.2: Cross-Validation with Jittered Data
Section 17.6.3: Jitter Used to Discount an Overtrained Response