– Regression Learner app for training regression models using supervised machine learning
– Functions for transferring weights from pretrained CNN models (AlexNet, VGG-16 and VGG-19) and models from Caffe Model Zoo – Deep learning visualization for the features a CNN model has learned using image optimization – Deep learning algorithms for training convolutional neural networks (CNNs) for regression tasks using multiple GPUs on PCs, on clusters, and in the cloud – Web-based server management dashboard for IT configuration and control – Vector autoregressive model for analyzing multivariate time series data, including exogenous predictors – Bayesian linear regression model for analyzing the relationship between a response and a set of predictor variables – More functions for operating on tall arrays, including ismember, sort, conv, and moving statistics functions
– heatmap chart functions for visualizing data – Interactive figure updates in the Live Editor, including title, labels, legend, and other annotations, as well as the ability to copy live script outputs to other applications R2017a also includes updates and bug fixes to 86 other products. R2017a includes a new product, Automated Driving System Toolbox, which helps design, simulate, and test ADAS and autonomous driving systems. MathWorks introduced Release 2017a (R2017a) with a range of new capabilities in MATLAB and Simulink.
