MATLAB - R2022b - Deep Learning Toolbox - Getting Started Guide

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