motobta.blogg.se - Data comparison on matlab and optisystem

boundaryshape Function: Create a polyshape object from a 2-D triangulation.

Enumerations: Improved performance of set operations with enumerations.

string Arrays: Use string arrays in MATLAB, Simulink, and Stateflow.

Add-On Manager: Install and manage multiple versions of a custom toolbox.Comparison Tool: Merge two versions of a live script or function.Live Editor: Create new and open existing live scripts faster.Live Editor: Filter table output interactively, and then add the generated code to the live script.

Live Editor: Navigate within a live script using internal hyperlinks.Live Editor: Organize live scripts using additional subheading styles.Now, image processing, computer vision, signal processing, and systems engineers can use MATLAB to more easily design complex network architectures and improve the performance of their deep learning models. The new Deep Learning Toolbox, which replaces Neural Network Toolbox, provides engineers and scientists with a framework for designing and implementing deep neural networks. The release contains significant enhancements for deep learning, along with new capabilities and bug fixes across the product families. Matlab 2018b ( MATLAB 9.5, R2018b) introduced on.