theanets.layers.base.Concatenate

class theanets.layers.base.Concatenate(name=None, **kwargs)[source]

Concatenate multiple inputs along the last axis.

Notes

This layer concatenates multiple inputs along their last dimension; all inputs must have the same dimensionality and the same shape along all but the last dimension. The size of this layer must equal the sum of the sizes of the inputs.

Outputs

  • out — inputs concatenated along last axis
__init__(name=None, **kwargs)

x.__init__(…) initializes x; see help(type(x)) for signature

Methods

__init__([name]) x.__init__(…) initializes x; see help(type(x)) for signature
add_bias(name, size[, mean, std]) Helper method to create a new bias vector.
add_weights(name, nin, nout[, mean, std, …]) Helper method to create a new weight matrix.
bind(graph[, reset, initialize]) Bind this layer into a computation graph.
connect(inputs) Create Theano variables representing the outputs of this layer.
find(key) Get a shared variable for a parameter by name.
full_name(name) Return a fully-scoped name for the given layer output.
log() Log some information about this layer.
log_params() Log information about this layer’s parameters.
resolve_inputs(layers) Resolve the names of inputs for this layer into shape tuples.
resolve_outputs() Resolve the names of outputs for this layer into shape tuples.
setup() Set up the parameters and initial values for this layer.
to_spec() Create a specification dictionary for this layer.
transform(inputs) Transform the inputs for this layer into an output for the layer.

Attributes

input_name Name of layer input (for layers with one input).
input_shape Shape of layer input (for layers with one input).
input_size Size of layer input (for layers with one input).
output_name Full name of the default output for this layer.
output_shape Shape of default output from this layer.
output_size Number of “neurons” in this layer’s default output.
params A list of all parameters in this layer.
resolve_outputs()[source]

Resolve the names of outputs for this layer into shape tuples.

transform(inputs)[source]

Transform the inputs for this layer into an output for the layer.

Parameters:
inputs : dict of Theano expressions

Symbolic inputs to this layer, given as a dictionary mapping string names to Theano expressions. See Layer.connect().

Returns:
output : Theano expression

The output for this layer is the same as the input.

updates : list

An empty updates list.