Workflow for Deep Learning Code Generation with MATLAB Coder

With MATLAB^® Coder™, you can generate code for prediction from a pretrained neural network, targeting an embedded platform that uses an Intel^® processor or an ARM^® processor. The generated code calls the Intel MKL-DNN or ARM Compute Library to apply high performance.

You can also use MATLAB Coder to generate generic C or C++ code for deep learning networks. Such C or C++ code does not depend on third-party libraries.

Get a trained network by using Deep Learning Toolbox™. Construct and train the network or use a pretrained network. For more information, see:
- Deep Learning in MATLAB (Deep Learning Toolbox).
- Pretrained Deep Neural Networks (Deep Learning Toolbox).
The network must be supported for code generation. See Networks and Layers Supported for Code Generation.
Load a network object from the trained network.
See Load Pretrained Networks for Code Generation.
Generate C++ code for the trained network by using codegen or the MATLAB Coder app. See:

Workflow for Deep Learning Code Generation with MATLAB Coder

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