Deep Learning for Computer Vision using Python and MATLAB This repository shows an example of how to integrate MATLAB apps into a Python deep learning workflow for computer vision and image analysis ...

Alternatively, you can download the GoogLeNet pre-trained model from the MathWorks File Exchange, at Deep Learning Toolbox Model for GoogLeNet Network. You can create an untrained GoogLeNet network ...

This workflow is already being used by the NXP Vision Toolbox to deploy deep learning networks on the Arm Cortex-A53 processor included in the NXPS32V234. Going further If you’re interested in finding ...

MathWorks has introduced Release 2018b of MATLAB and Simulink which contains significant enhancements for deep learning, along with new capabilities and bug fixes across the product families.

“Now, deep learning novices and experts can learn, apply, and conduct advanced research with MATLAB by using an integrated deep learning workflow from research to prototype to production.” ...

“Deep Learning with MATLAB” course is now available through NVIDIA’s Deep Learning Institute.

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

Deep learning is a hot topic and many companies feel they need to get started or risk getting left behind. Here are the five main steps on setting up a deep learning workflow.