theanets.layers.base.Flatten¶
-
class
theanets.layers.base.
Flatten
(size, inputs, name=None, activation='relu', **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__
(size, inputs, name=None, activation='relu', **kwargs)¶
Methods
__init__
(size, inputs[, name, activation])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. connect
(inputs)Create Theano variables representing the outputs of this layer. find
(key)Get a shared variable for a parameter by name. log
()Log some information about this layer. output_name
([name])Return a fully-scoped name for the given layer output. 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_size
For networks with one input, get the input size. num_params
Total number of learnable parameters in this layer. params
A list of all parameters in this layer. -
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: outputs : dict of Theano expressions
A map from string output names to Theano expressions for the outputs from this layer. This layer type generates a “pre” output that gives the unit activity before applying the layer’s activation function, and an “out” output that gives the post-activation output.
updates : list of update pairs
An empty sequence of updates.