MATLAB Deep Learning Toolbox Getting Started Guide

[LeeAndro]

English | 2022 | ISBN: n/a | 132 Pages | PDF (True) | 2.26 MB

Deep Learning Toolbox provides a framework for designing and implementing deep neural networks
with algorithms, pretrained models, and apps.​

You can use convolutional neural networks (ConvNets,
CNNs) and long short-term memory (LSTM) networks to perform classification and regression on
image, -series, and text data. You can build network architectures such as generative adversarial
networks (GANs) and Siamese networks using automatic differentiation, custom training loops, and
shared weights. With the Deep Network Designer app, you can design, analyze, and train networks
graphically. The Expent Manager app helps you manage multiple deep learning expents,
keep track of training parameters, analyze results, and compare code from different expents. You
can visualize layer activations and graphically monitor training progress.



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