MATLAB. Deep Learning Toolbox™ Getting Started Guide

✍ Scribed by Mark Hudson; Beale Martin T. Hagan; Howard B. Demuth

• Publisher: The MathWorks
• Year: 2022
• Tongue: English
• Leaves: 132
• Category: Library

✦ Table of Contents

Getting Started
Deep Learning Toolbox Product Description
Get Started with Deep Network Designer
Try Deep Learning in 10 Lines of MATLAB Code
Classify Image Using Pretrained Network
Get Started with Transfer Learning
Create Simple Image Classification Network
Create Simple Image Classification Network Using Deep Network Designer
Create Simple Sequence Classification Network Using Deep Network Designer
Shallow Networks for Pattern Recognition, Clustering and Time Series
Shallow Network Apps and Functions in Deep Learning Toolbox
Deep Learning Toolbox Applications
Shallow Neural Network Design Steps
Fit Data with a Shallow Neural Network
Defining a Problem
Fit Data Using the Neural Net Fitting App
Fit Data Using Command-Line Functions
Classify Patterns with a Shallow Neural Network
Defining a Problem
Classify Patterns Using the Neural Net Pattern Recognition App
Classify Patterns Using Command-Line Functions
Cluster Data with a Self-Organizing Map
Defining a Problem
Cluster Data Using the Neural Net Clustering App
Cluster Data Using Command-Line Functions
Shallow Neural Network Time-Series Prediction and Modeling
Time Series Networks
Defining a Problem
Fit Time Series Data Using the Neural Net Time Series App
Fit Time Series Data Using Command-Line Functions
Train Shallow Networks on CPUs and GPUs
Parallel Computing Toolbox
Parallel CPU Workers
GPU Computing
Multiple GPU/CPU Computing
Cluster Computing with MATLAB Parallel Server
Load Balancing, Large Problems, and Beyond
Sample Data Sets for Shallow Neural Networks
Shallow Neural Networks Glossary