New Features for
Deep Learning
Get more out of MATLAB and Simulink by downloading the latest release.
Use DAG and LSTM networks, label images with an app, perform semantic segmentation, and generate CUDA code for NVIDIA GPUs.
Text analytics, customized datastore, more big data plots and algorithms for machine learning, and Microsoft Azure blob storage support.
Model scheduling effects and implement pluggable components for software environments.
New tools for requirements modeling, test coverage analysis, and compliance checking.
Generate CUDA code from MATLAB code for deep learning and embedded vision and run on NVIDIA GPUs.
Moving to the latest release just got easier with the code compatibility report, project-wide upgrades, and cross-release code integration.
geobubble
function for creating interactive maps with bubbles whose size and color vary with data values, and wordcloud
function for displaying words at sizes based on frequency or other databinscatter
, plot
, and scatter
functions for visualizing out-of-memory data in tall arrayspcbstack
object for designing and analyzing custom PCB antennas with arbitrary metal-dielectric layers, and generating Gerber files to fabricate printed antennas* Indicates major update