Engineers will now be able to train neural networks in the updated Deep Network Designer app, manage multiple deep learning experiments in a new Experiment Manager app, and choose from more network options to generate deep learning code.
The 2020a release introduces an enhanced Deep Learning Toolbox that helps users:
- Manage multiple deep learning experiments, keep track of training parameters, and analyse and compare results and code with the new Experiment Manager app.
- Interactively train a network for image classification, generate MATLAB code for training, and access pretrained models with Deep Network Designer app.
- Additionally, GPU Coder now offers a more expansive set of networks to implement AI systems on cloud and edge devices, including Darknet-19, Darknet-53, Inception-ResNet-v2, NASNet-Large, and NASNet-Mobile.
The release also includes three new products:
- Motor Control Blockset contains a library of motor control algorithms optimized for generating compact code as well as out-of-the-box support for multiple motor control hardware kits.
- Simulink Compiler lets engineers generate standalone applications, web apps, and software components from Simulink models, enabling simulations to run without installing Simulink.
- MATLAB Web App Server offers controlled access from a browser to MATLAB web apps deployed across a user’s organization.
The release also includes major updates. Automotive engineers can more easily create driving scenarios using imported road data from high-definition geographic maps and optimize shift schedules for performance, fuel economy, and emissions analysis.
For wireless engineers, MATLAB support for 5G and WiFi-6 technologies has now been expanded with additional support for waveform generation and cell detection.
Users can also now generate C++ classes from MATLAB classes, and the new release introduces message-based communication for service functions and reusable subsystems.
Other enhancements in the MATLAB and Simulink product families include:
- MATLAB now provides improved support for non-ASCII character sets with default UTF-8 encoding, new graphics customization capabilities and new chart types for visualizing data, and Live Editor Tasks for interactively retiming or synchronizing timetables and stacking or unstacking table variables.
- Simulink users can now write C code directly into their models to integrate external algorithms, use a new C Function block to easily add pre- or postprocessing of preconfigured C functions, and specify different code for simulation and code generation.
