Noah23 asked . 2020-05-27

Which deep learning algorithms does MATLAB support?

I want to use deep learning with MATLAB. Since every release introduces new algorithms, I am confused which version supports which algorithms, and which toolboxes I need to have. Could you tell me about the supported version and required/recommended toolboxes of each deep learning algorithm?

deep learning, matlab

Expert Answer

Kshitij Singh answered . 2024-12-21 17:33:34

As of R2019a, MATLAB supports the following deep neural network algorithms:

ãƒ»Recurrent Neural Networks (RNN)

ãƒ»Stacked Autoencoders (SAE)

ãƒ»Convolutional Neural Networks (CNN)

ãƒ»Regions with CNN (R-CNN)

ãƒ»Fast R-CNN / Faster R-CNN

ãƒ»Directed Acyclic Graph Networks (DAG)

ãƒ»Long Short-Term Memory Networks (LSTM)

ãƒ»Semantic Segmentation

Not only these algorithms, there are some related features such as transfer learning (using the pre-trained models based on MatConvNet/Caffe/Keras/Tensorflow) and deep dream (visualization of network features). Supported versions and required/recommended toolboxes are depending on which feature you want to use. Please check with the following table:

Table: Supported versions and required/recommended toolboxes of deep learning related algorithms

â€»1 Cannot import models with layers which are not supported by Neural Network Toolbox

â€»2 "Required" when GPU is used

â€»3 "Required" when the classification method is not Neural Network

The name of each toolbox is abbreviated in the table. The official name is as follows:

ãƒ»PCT: Parallel Computing Toolbox

ãƒ»NN: Neural Network Toolbox

ãƒ»ST: Statistics and Machine Learning Toolbox

ãƒ»IPT: Image Processing Toolbox

ãƒ»CVST: Computer Vision System Toolbox

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