function conv2d$3(args) {
	  return new Conv2D$1(args);
	}
2D convolution layer (e.g. spatial convolution over images).

This layer creates a convolution kernel that is convolved
with the layer input to produce a tensor of outputs.

If `useBias` is True, a bias vector is created and added to the outputs.

If `activation` is not `null`, it is applied to the outputs as well.

When using this layer as the first layer in a model,
provide the keyword argument `inputShape`
(Array of integers, does not include the sample axis),
e.g. `inputShape=[128, 128, 3]` for 128x128 RGB pictures
in `dataFormat='channelsLast'`.

@doc {heading: 'Layers', subheading: 'Convolutional', namespace: 'layers'}