MATLAB is a comprehensive deep learning framework that provides an end-to-end workflow – from data access and data preparation to training – all the way to deployment of the complete application. It’s ...

This repository shows an example of how to integrate MATLAB apps into a Python deep learning workflow for computer vision and image analysis tasks, with emphasis on the data preparation stage of the ...

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 ...

“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.” MathWorks ...

“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.” ...

In addition, a MATLAB container from NVIDIA GPU Cloud , a hub for GPU-optimized AI and HPC software, provides a complete deep learning workflow that uses NVIDIA GPUs to accelerate neural network ...

MathWorks’ MATLAB 2018b release serves up a number of new features, including the Deep Learning Toolbox that supports development of machine-learning applications. Other new features include the ...

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.

NATICK, MA—MathWorks on Sept. 17 introduced Release 2019b with a range of new capabilities in MATLAB and Simulink, including those in support of artificial intelligence, deep learning and the ...