Now when I select a group of blocks and hit Ctrl+I, the entire group flips: Before R2018a, I was running into situations like this one very often: This means that I often need to flip and rotate blocks. I reorganize models all the time, and I am picky on the style.
#Simulink matlab 2018b verification
In addition, deployment support has been added for Intel and ARM platforms using Intel MKL-DNN and ARM Compute Library.Īvailable immediately, R2018b includes updates to the MATLAB and Simulink product family, including new capabilities for code generation, signal processing and communications, and verification and validation.MATLAB R2018b is now available! In this first post about R2018b, I decided to highlight enhancements to the Simulink editor that will hopefully speed up model creation. In R2018b, GPU Coder continues to improve inference performance by supporting NVIDIA libraries and adding optimisations such as auto-tuning, layer fusion, and buffer minimisation. Broadened support for domain-specific workflows, including ground-truth labelling apps for audio, video, and application-specific datastores, making it easier and faster to work with large collections of data.Improved network training performance beyond desktop capabilities by supporting cloud vendors with MATLAB Deep Learning Container on NVIDIA GPU Cloud and the MATLAB reference architectures for Amazon Web Services and Microsoft Azure.
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.
It contains significant enhancements for deep learning, along with new capabilities and bug fixes across the product families. MathWorks has introduced Release 2018b of MATLAB and Simulink.