theanets.layers.base.Flatten

class theanets.layers.base.Flatten(name=None, **kwargs)

Flatten all but the batch index of the input.

Notes

In theanets, the leading axis of a data array always runs over the examples in a mini-batch. Since the number of examples in a mini-batch is constant throughout a network graph, this layer always preserves the shape of the leading axis of its inputs.

This layer type flattens all of the non-leading dimensions of its inputs into one dimension. If you’d like to perform an arbitrary reshape of the input data, use a Reshape layer.

Outputs

• out — flattened inputs

__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()

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

transform(inputs)

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.