cattimesteps

(To be removed) Concatenate neural network data timesteps

cattimesteps 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

cattimesteps(x1,x2,...,xn)
{x1 x2 ... xn}


Description

cattimesteps(x1,x2,...,xn) takes any number of neural network data values, and merges them along the element dimension (i.e., the cell column dimension).

If all arguments are matrices, this operation is the same as {x1 x2 ... xn}.

If any argument is a cell array, all non-cell array arguments are enclosed in cell arrays, and the cell arrays are concatenated as [x1 x2 ... xn].

Examples

This code concatenates the elements of two matrix data values.

x1 = [1 2 3; 4 7 4]
x2 = [5 8 2; 4 7 6]
y = cattimesteps(x1,x2)

This code concatenates the elements of two cell array data values.

x1 = {[1:3; 4:6] [7:9; 10:12]; [13:15] [16:18]}
x2 = {[2 1 3; 5 4 1] [4 5 6; 9 4 8]; [2 5 4] [9 7 5]}
y = cattimesteps(x1,x2)

Version History

Introduced in R2010b

R2026a: cattimesteps will be removed

cattimesteps will be removed in a future release.

To learn more about data processing for neural networks, see these examples and topics:

• Preprocess Data for Domain-Specific Deep Learning Applications

• Datastores for Deep Learning

• Choose an App to Label Ground Truth Data

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