MATLAB makes deep learning easy and accessible even if you are not an expert. Learn how you can perform deep learning tasks with just a few lines of code. Also discover how you can design and build your own convolutional neural network models, access the latest models, or import pretrained models.
Integrating MATLAB into Enterprise Systems, Clusters, or Clouds
MATLAB and Simulink applications can be scaled up with clusters and clouds. Learn and understand how you can use parallel computing tools to accelerate computationally intensive MATLAB programs by running them in large-scale, high-performance computing resources such as computer clusters and cloud computing services (e.g. Amazon EC2® and Microsoft® Azure®).
Model-Based Design: Implementing MATLAB and Simulink Design on and SoC Devices
Verilog® and VHDL can be generated from designs in MATLAB and Simulink. Additionally, hardware-software co-design is enabled by providing C/C++ code generation for your software models. Discuss and learn how you can design and generate code and additionally leverage targeted support for development boards for Xilinx® Zynq®-7000 and Intel® Cyclone V SoC.
Model-Based Design: Multidomain Physical Systems
Systems are becoming more and more complex with multiple physical domains interacting. The software domain is becoming a major portion of the systems and needs to be taken into account as well. Learn and discuss how Simulink provides a complete simulation environment that lets you integrate multiple physical domains and control software to capture full system behaviors.
Model-Based Design: Rapid Prototyping and Hardware-in-the-Loop Simulations (Real-Time Testing)
Designs (models) of control software and physical systems in Simulink can be reused for the purpose of real-time testing. Learn and discuss how you can move from pure desktop simulation to real-time execution of your models on hardware specifically designed and optimized for rapid prototyping or hardware-in-the-loop (HIL) simulations.
Model-Based Design: Verification and Validation on the Model and Code Level
Early verification on the model level, and later on the code level, to ensure correctness of model and code are strategic activities within Model-Based Design. Learn and discuss capabilities such as model checking, coverage measurement, requirements management, and bug finder at code level to increase the quality of your design. Also understand how Model-Based Design with MATLAB and Simulink fulfills compliance with your safety standard, such as ISO 26262, IEC 61508 and other standards.