Source code for epynn.embedding.backward

# EpyNN/epynn/embedding/

[docs]def initialize_backward(layer, dX): """Backward cache initialization. :param layer: An instance of embedding layer. :type layer: :class:`epynn.embedding.models.Embedding` :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 dX
[docs]def embedding_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 None # No previous layer