If you’re interested in finding out more, MATLAB’s Deep Learning Toolbox provides simple commands for creating and interconnecting the layers of a deep neural network. Examples and pre-trained ...

In this part we build an image classifier starting from a pre-trained (on ImageNet) CNN under the transfer learning paradigm. Once again, we use the Deep Network Designer app to build our solution by ...

This repository offers a variety of pretrained YOLO v8[1] networks for object detection and instance segmentation in MATLAB®. These networks are trained on the COCO 2017[2] dataset and are capable of ...

The Deep Network Designer (see figure) provides a way to use pretrained models including SqueezeNet, Inception-v3, ResNet-101, GoogLeNet, and VGG-19, as well as developing new models.

Finally, you’ll leverage MATLAB tools for deep learning and managing convolutional neural networks. By the end of the book, you’ll be able to put it all together by applying major machine learning ...

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 ...