pyml.neural_network.layer.transformation.reshape.Flatten#

class Flatten[source]#

Bases: _Transformation

Flatten Layer

Methods

`__init__`
`backward`	Perform the backward pass of the flattening operation on the gradient of the output data.
`forward`	Perform the forward pass of the flattening operation on the input data.
`set_adjacent_layers`	Set adjacent layers which are needed for the model to iterate through the layers.

backward(dvalues)[source]#

Perform the backward pass of the flattening operation on the gradient of the output data.

Return type:: None
Parameters:: dvalues (numpy.ndarray) – Derived gradient from the previous layer (reversed order).

forward(inputs)[source]#

Perform the forward pass of the flattening operation on the input data.

Return type:: None
Parameters:: inputs (numpy.ndarray) – Input values from previous layer.

set_adjacent_layers(previous_layer, next_layer)#

Set adjacent layers which are needed for the model to iterate through the layers.

Parameters: