Machine Learning, Linear Regression, Gradient Descent, Backpropagation.
#forward propagation feed_batch_data() compute_ŷ() compute_loss() #backpropagation compute_partial_differentials() update_weights() Improve training One epoch is never enough for a stochastic gradient descent optimisation problems. Remember that in Fig. 4.1, our loss is at 4.48. If we increase the