Keras Locally Connected 2D Layer

This layer works similarly to a convolution layer, except that weights are unshared, that is, a different set of filters is applied at each different patch of the input. Corresponds to the Keras Locally Connected 2D Layer.

Options

Name prefix

The name prefix of the layer. The prefix is complemented by an index suffix to obtain a unique layer name. If this option is unchecked, the name prefix is derived from the layer type.

Filters

The dimensionality of the output space (i.e. the number of output filters in the convolution).

Kernel size

A tuple of 2 integers, specifying the height and width of the 2D convolution window.

Strides

A tuple of 2 integers, specifying the strides of the convolution along the height and width. Specifying any stride value != 1 is incompatible with specifying any dilation_rate value != 1.

Padding

Locally Connected Layers only support 'valid' padding.

Activation function

The activation function to use.

Use bias?

If checked, a bias vector will be used.

Kernel initializer

Initializer for the kernel weights matrix.

Bias initializer

Initializer for the bias vector.

Kernel regularizer

Regularizer function applied to the kernel weights matrix.

Bias regularizer

Regularizer function applied to the bias vector.

Activation regularizer

Regularizer function applied to the output of the layer (its "activation").

Kernel constraint

Constraint function applied to the kernel matrix.

Bias constraint

Constraint function applied to the bias vector.

Views

This node has no views

Workflows

• No workflows found

Links

• KNIME Deep Learning Keras Integration

  www.knime.com/deeplearning/keras

Developers