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NeuralNetwork.backward

NeuralNetwork.backward(input_data, weights)[source]

Backward pass of the network.

Parameters:
  • input_data -- input data of the shape (num_inputs). In case of a single scalar input it is directly cast to and interpreted like a one-element array.

  • weights -- trainable weights of the shape (num_weights). In case of a single scalar weight

  • array. (it is directly cast to and interpreted like a one-element) --

Returns:

The result of the neural network of the backward pass, i.e., a tuple with the gradients for input and weights of shape (output_shape, num_input) and (output_shape, num_weights), respectively.