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Chapter 8 Contents
Select Section Overview
Select Section Section 8.1: Characteristic Features
Select Section Section 8.2: The Gradient is the Sum of Single-Pattern Gradients
Select Section Section 8.3: Weight-Space Symmetries
Select Section Section 8.4: Remarks
Current Section Section 8.5: Local Minima
Select Subsection Section 8.5.1: Single-Layer Nets Can Have Local Minima
Select Subsection Section 8.5.2: No Local Minima for Linearly Separable Data
Select Subsection Section 8.5.3: Local Minima Really Do Exist
Select Subsection Section 8.5.4: The Effect of Network Size
Select Section Section 8.6: Properties of the Hessian Matrix
Select Section Section 8.7: Gain Scaling