gettimesteps

(To be removed) Get neural network data timesteps

gettimesteps will be removed in a future release. For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.

For advice on updating your code, see Version History.

Syntax

gettimesteps(x,ind)


Description

gettimesteps(x,ind) returns the timesteps of neural network data x indicated by the indices ind. The neural network data may be in matrix or cell array form.

If x is a matrix, ind can only be 1, which will return x; or [], which will return an empty matrix.

If x is a cell array, then the result is the columns of x with indices specified by ind.

Examples

This code gets timestep 2 from cell array data:

x = {[1:3; 4:6] [7:9; 10:12]; [13:15] [16:18]}
y = gettimesteps(x,2)

Version History

Introduced in R2010b

R2026a: gettimesteps will be removed

gettimesteps will be removed in a future release.

To train a neural network with time series data, use one of these options:

• Time Series Modeler app — Interactively design and train neural networks for time series data.

• trainnet — Train neural network. Use this function when you need more flexibility in the network architecture or training algorithm.

To learn more about time series data workflows, see these examples and topics:

• Training Neural Networks with Time Series Data

• Time Series Forecasting Using Deep Learning

• Create and Train NARX Network for Time Series Forecasting

• Long Short-Term Memory Neural Networks

• Example Deep Learning Network Architectures

For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.