# EpyNN/epynn/template/backward.py
[docs]def initialize_backward(layer, dX):
"""Backward cache initialization.
:param layer: An instance of template layer.
:type layer: :class:`epynn.template.models.Template`
:param dX: Output of backward propagation from next layer.
:type dX: :class:`numpy.ndarray`
:return: Input of backward propagation for current layer.
:rtype: :class:`numpy.ndarray`
"""
dA = layer.bc['dA'] = dX
return dA
[docs]def template_backward(layer, dX):
"""Backward propagate error gradients to previous layer.
"""
# (1) Initialize cache
dA = initialize_backward(layer, dX)
# (2) Pass backward
dX = layer.bc['dX'] = dA
return dX # To previous layer