ConvolutionLayer

ConvolutionLayer[n, s] represents a trainable convolutional net layer having n output channels and using kernels of size s to compute the convolution.

ConvolutionLayer[n, {s}] represents a layer performing one-dimensional convolutions with kernels of size s.

ConvolutionLayer[n, {h, w}] represents a layer performing two-dimensional convolutions with kernels of size h×w.

ConvolutionLayer[n, {h, w, d}] represents three-dimensional convolutions with kernels of size h×w×d.

Examples

Create a 2D convolutional layer:

ConvolutionLayer[32, {3, 3}]

Create a 1D convolutional layer:

ConvolutionLayer[16, {5}]

Please visit the official Wolfram Language Reference for more details.