Neural, Network, Class, Python.
hidden_layer_output = self.sigmoid(hidden_layer_input) output_layer_input = np.dot(self.weights_hidden_output, hidden_layer_output) + self.biases_hidden_output predicted_output = self.sigmoid(output_layer_input) # Backpropagation error = target_data - predicted_output d_predicted_output = error *