Create a ThreadingLayer using Times as the function to be threaded:

Apply the layer to a pair of inputs:

Create a ThreadingLayer that sums arrays with different dimensions, broadcasting the smallest arrays on the first dimensions:

Apply the layer to a pair of inputs:

Create a ThreadingLayer that sums arrays with different dimensions, broadcasting the smallest arrays on the last dimensions:

Apply the layer to a pair of inputs:

Use ThreadingLayer in a NetGraph:

Apply the net to two vectors:

Create a NetGraph that computes the outer sum of two arrays with ThreadingLayer:

Apply the outer sum to a pair of inputs:

The names of input ports can be specified using option "Inputs":

The names of input ports can be specified directly within the function of ThreadingLayer:

Apply the layer to an association of arrays:

Create a ThreadingLayer that takes a specific number of inputs:

Apply it to data:

Create a ThreadingLayer that uses a custom transformation to compute a spherical Gaussian:

Evaluate the layer on two input vectors to get a vector of outputs:

Plot the output of the layer:

Define a hinge loss using a ThreadingLayer:

Create a net that computes the hinge loss with a margin of 2:

When the target is within distance 2 of the input, the loss is zero:

The loss increases linearly beyond a distance of 2:

Plot the loss as a function of input for a fixed target of 2:

Perform linear regression using the hinge loss:

Plot the solution:

Compare the solutions obtained using the hinge loss, mean absolute and mean squared error:

ThreadingLayer cannot accept symbolic inputs:

Certain choices of f can produce failures for inputs outside their domain:

Some pure functions are not supported: