MathWorks, 2019. — 762 p.
Deep Networks.
Deep Network Designer.
Automatic Differentiation.
Deep Learning in the Cloud.
Neural Network Objects, Data, and Training Styles.
Multilayer Shallow Neural Networks and.
Backpropagation Training.
Dynamic Neural Networks.
Control Systems.
Radial Basis Neural Networks.
Self-Organizing and Learning Vector Quantization.
Networks.
Adaptive Filters and Adaptive Training.
Advanced Topics.
Historical Neural Networks.
Neural Network Object Reference.
Shallow Neural Networks Bibliography.
Mathematical Notation.
Neural Network Blocks for the Simulink Environment.
Code Notes.