Generate C/C++ code for deep learning neural networks (requires Deep Learning Toolbox™) MATLAB Coder Supported Hardware (requires Fixed-Point Designer™) Deep Learning with MATLAB Coder Reduce memory usage of generated code MATLAB Algorithm AccelerationĪcceleration using generated MEX functions Numeric Conversionįixed-point conversion, single-precision conversion Reduce code generation time, improve execution speed, Using and running the generated C/C++ code Performance Generation data definition Code GenerationĬ/C++ and MEX code generation, fixing errors, behavioral MATLAB language syntax and functions for code Learn the basics of MATLAB Coder MATLAB Programming for Code Generation To generate software components for integration with other programming To deploy MATLAB programs as standalone applications, use MATLABĬompiler™. Traceability, and software-in-the-loop (SIL) and processor-in-the-loop (PIL) You can also package the generated code as a MEX-function for use inĬoder provides code customizations, target-specific optimizations, code You can combine it with key parts of your existing C and C++Ĭode and libraries. The generatedĬode is readable and portable. Into your projects as source code, static libraries, or dynamic libraries. It supports most of the MATLAB language and a wide range of toolboxes. Coder™ generates C and C++ code from MATLAB code for a variety of hardware platforms, from desktop systems to embedded
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