LinearLayer

LinearLayer[n] represents a trainable, fully connected net layer that computes w.x+b with output vector of size n.

• LinearLayer[{n1, n2, ...}] represents a layer that outputs an array of dimensions n1×n2×....
• LinearLayer[] leaves the dimensions of the output array to be inferred from context.
• LinearLayer[n, opts] includes options for initial weights and other parameters.

Examples

Create a linear layer with 10 outputs:

LinearLayer[10]

Multi-dimensional output:

LinearLayer[{5, 5}]

Please visit the official Wolfram Language Reference for more details.