Artificial Intelligence, Artificial Neural Network, Computer Science, Linear Regression, Python.
calculate_accuracy(predicted, y_training) #Calculate the grandient for each trainable parameter in the model gradients = tape.gradient(loss, trainable_parameter) #Save loss and accuracy in dictionary to keep track of training history history['training']['loss'].append(loss.numpy())