MATLAB In Deep Learning, Analytics Space; Announces R2017B, Massive Update In September; In this article, we see how MATLAB is gaining in popularity for deep learning: Why Matlab. MATLAB programming ...

This repo contains medium-hard deep learning projects done in matlab. This projects were done along the course 'FFR135 - Artificial neural networks' at chalmers. All 4 projects uses the CIFAR-10 ...

The new Deep Learning Toolbox, which replaces the Neural Network Toolbox, will provide engineers with a framework for designing and implementing deep neural networks. Image processing, computer vision ...

MATLAB For Deep Learning. For MATLAB, a continued area of investment has been the imaging space with new image processing and computer vision algorithms, more complete coverage for standard camera ...

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 ...

Implement feature selection and extraction for dimensionality reduction; Harness MATLAB tools for deep learning exploration; Who this book is for. This book is for ML engineers, data scientists, DL ...

Alternatively, you can download the ResNet-18 pre-trained model from the MathWorks File Exchange, at Deep Learning Toolbox Model for ResNet-18 Network. You can create an untrained ResNet-18 network ...

Abstract: The central aim of this paper is to implement Deep Autoencoder and Neighborhood Components Analysis (NCA) dimensionality reduction methods in Matlab and to observe the application of these ...