If you notice discrepancies between the network in MATLAB and in Simulink, please check that the initial values are set properly in the Simulnk block using 'getsiminit'. Refer to the attached script for a simple
This MATLAB function without arguments returns a new neural network with no inputs, layers or outputs.
Neural Network Table of Contents AI Modeling Train shallow neural networks interactively in Classification and Regression Learner from, or use command-line functions; this is recommended if you want to compare the performance of shallow neural networks with other conventional machine learning algorithms, ...
This MATLAB function without arguments returns a new neural network with no inputs, layers or outputs.
This MATLAB function takes these arguments: Row vector of increasing 0 or positive input delays, inputDelays Row vector of one or more hidden layer sizes, hiddenSizes Training function, trainFcnand returns a time delay neural network.
Neural network, specified as a network object. Example:net = feedforwardnet(10); Location and name of generated function file, specified as a character string. If you do not specify a file name extension of.m, it is automatically appended. If you do not specify a path to the file, the...
Neural network, specified as adlnetworkobject. Connection source, specified as a character vector or a string scalar. If the source layer has a single output, thensis the name of the layer. If the source layer has multiple outputs, thensis the layer name followed by the"/"character and the...
Getting Started:Learn the basics of Neural Network Toolbox Tutorials (1)Try Deep Learning in 10 Lines of MATLAB Code:Learn how to use deep learning to identify objects on a live webcam with the alexnetpretrainednetwork clc;clearall;closeall;camera=webcam;% Connect to the cameranet=alexnet;%...
Copy CodeCopy Command You can retrain a pretrained network for new datasets by adapting the neural network to match the new task and using its learned weights as a starting point. To adapt the network to the new data, replace the last few layers (known as the network head) so that it ...
This MATLAB function returns the regression loss for the trained regression neural network Mdl using the predictor data in table Tbl and the response values in the ResponseVarName table variable.