Deep Learning with MATLAB Coder

Generate C++ code for deep learning neural networks (requires Deep Learning Toolbox™)

Deep learning is a branch of machine learning that teaches computers to do what comes naturally to humans: learn from experience. The learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. Deep learning uses convolutional neural networks (CNNs) to learn useful representations of data directly from images.

You can use MATLAB® Coder™ with Deep Learning Toolbox to generate C++ code from a trained CNN. You can deploy the generated code to an embedded platform that uses an Intel® or ARM® processor.

Deep Learning with MATLAB Coder is not supported in MATLAB Online™.

Functions

codegenGenerate C/C++ code from MATLAB code
cnncodegenGenerate code and build static library for Series or DAG Network
coder.loadDeepLearningNetworkLoad deep learning network model
coder.DeepLearningConfigCreate deep learning code generation configuration objects
coder.ARMNEONConfigParameters to configure deep learning code generation with the ARM Compute Library
coder.MklDNNConfigParameters to configure deep learning code generation with the Intel Math Kernel Library for Deep Neural Networks
coder.getDeepLearningLayersGet convolutional neural network layers supported for code generation for a specific deep learning library

Topics

Prerequisites for Deep Learning with MATLAB Coder

Install products and configure environment for code generation for deep learning networks.

Workflow for Deep Learning Code Generation with MATLAB Coder

Generate code for prediction from a pretrained network.

Networks and Layers Supported for C++ Code Generation

Choose a convolutional neural network that is supported for your target processor.

Load Pretrained Networks for Code Generation

Create a SeriesNetwork, DAGNetwork, yolov2ObjectDetector, or ssdObjectDetector object for code generation.

Code Generation for Deep Learning Networks with MKL-DNN

Generate C++ code for prediction from a deep learning network, targeting an Intel CPU.

Code Generation for Deep Learning Networks with ARM Compute Library

Generate C++ code for prediction from a deep learning network, targeting an ARM processor.

Cross-Compile Deep Learning Code That Uses ARM Compute Library

Generate library or executable code on host computer for deployment on ARM hardware target.

Related Information

Featured Examples

Deep Learning Code Generation on Intel Targets for Different Batch Sizes

Deep Learning Code Generation on Intel Targets for Different Batch Sizes

Generate code for deep learning networks, targeting an Intel processor.

Open Script
Code Generation for Deep Learning on ARM Targets

Code Generation for Deep Learning on ARM Targets

Code generation with ARM Compute Library when you do not have a hardware support package.

Open Script
Deep Learning Prediction with ARM Compute Using codegen

Deep Learning Prediction with ARM Compute Using codegen

Generate code for deep learning networks, targeting an ARM processor.

Open Script
Code Generation and Deployment of MobileNet-v2 Network to Raspberry Pi

Code Generation and Deployment of MobileNet-v2 Network to Raspberry Pi

Use the MobileNet-V2 network for object prediction on external hardware.

Open Script
Generate C++ Code for Object Detection Using YOLO v2 and Intel MKL-DNN

Generate C++ Code for Object Detection Using YOLO v2 and Intel MKL-DNN

Generate code for object detection on an Intel CPU.

Open Script
Code Generation for Semantic Segmentation Application on Intel CPUs That Uses U-Net

Code Generation for Semantic Segmentation Application on Intel CPUs That Uses U-Net

Generate a MEX function that performs image segmentation by using the deep learning network U-Net on Intel CPUs.

Open Script
Code Generation for Semantic Segmentation Application on ARM Neon targets That Uses U-Net

Code Generation for Semantic Segmentation Application on ARM Neon targets That Uses U-Net

Generate a static library that performs image segmentation by using the deep learning network U-Net on ARM targets.

Open Script
Code Generation for LSTM Network on Raspberry Pi

Code Generation for LSTM Network on Raspberry Pi

Generate code for a pretrained long short-term memory network to predict Remaining Useful Life (RUI) of a machine.

Open Live Script
Code Generation for LSTM Network That Uses Intel MKL-DNN

Code Generation for LSTM Network That Uses Intel MKL-DNN

Generate code for a pretrained LSTM network that makes predictions for each step of an input timeseries.

Open Live Script
Cross Compile Deep Learning Code for ARM Neon Targets

Cross Compile Deep Learning Code for ARM Neon Targets

Generate library or executable code on host computer for deployment on ARM hardware target.

Open Live Script

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