Artificial Intelligence, Artificial Neural Network, Computer Science, Linear Regression, Python.
the validation validation_loss = cross_entropy(predicted_validation, y_validation) validation_accuracy = calculate_accuracy(predicted_validation, y_validation) #Save values on the history object for this iteration history['validation']['loss'].append(validation_loss.numpy())