Neural, Network, Class, Python.
(predicted_output * (1 - predicted_output)) error_hidden_layer = np.dot(self.weights_hidden_output.T, d_predicted_output) d_hidden_layer = error_hidden_layer * (hidden_layer_output * (1 - hidden_layer_output)) # Adjust weights and biases self.weights_hidden_output += learning_rate *