Learn how deep learning works and how to use deep learning to design smart systems in a variety of applications. Resources include videos, examples, and documentation.

Developing audio applications with deep learning typically includes creating and accessing data sets, preprocessing and exploring data, developing predictive models, and deploying and sharing …

Discover deep learning capabilities in MATLAB using convolutional neural networks for classification and regression, including pretrained networks and transfer learning, and training on GPUs, CPUs, …

The book demonstrates various deep learning algorithms that can offer practical solutions for various image-related problems; also how these algorithms are used by scientists and scholars in industry …

Discover deep learning capabilities in MATLAB using convolutional neural networks for classification and regression, including pretrained networks and transfer learning, and training on GPUs, CPUs, …

Integrate machine learning and deep learning models to the design of complex systems, and deploy entire embedded AI applications to CPUs, GPUs, FPGAs, and more.

With just a few lines of MATLAB code, you can incorporate deep learning into your applications whether you’re designing algorithms, preparing and labeling data, or generating code and deploying to …

The book demonstrates various deep learning algorithms that can offer practical solutions for various image-related problems; also how these algorithms are used by scientists and scholars in industry …

Deep learning tends to work best with a large amount of training data, and techniques such as transfer learning can simplify the image recognition workflow. Deep Learning Toolbox™ provides a …

3 days ago · Deep Learning Toolbox provides functions, apps, and Simulink blocks for designing, implementing, and simulating deep neural networks. The toolbox provides a framework to create and …