The Deep Learning HDL Toolbox provides algorithm developers and hardware designers with functions and tools to prototype and implement deep learning networks on FPGAs and SoCs. It provides prebuilt ...

By using Deep Learning HDL Toolbox, engineers can customize the hardware implementation of their deep learning network and generate portable, synthesizable Verilog and VHDL code for deployment on any ...

Automatic code generation to embedded-devices. MATLAB can automatically generate code for the following: C/C++ using MATLAB Coder, CUDA using GPU Coder and, VHDL using Deep Learning HDL Toolbox, ...

Automatic code generation to embedded-devices. MATLAB can automatically generate code for the following: C/C++ using MATLAB Coder, CUDA using GPU Coder and, VHDL using Deep Learning HDL Toolbox, ...

The toolbox now includes a new interactive DSP HDL IP Designer app for configuring DSP algorithms and generating HDL code and verification components.

MathWorks today announced that with the recent availability of Release 2019b of the MATLAB and Simulink product families, Vision HDL Toolbox includes native multipixel streaming support to process ...

In addition to the new products, R2022a includes major updates to MATLAB Compiler SDK, MATLAB Production Server, Robotics System Toolbox, Simulink Real-Time, and other products in the areas of signal ...

The Deep Learning Toolbox, part of MathWorks’ MATLAB 2018b release, targets the creation of machine-learning applications.