# Gradient Descent in MLPs using Computational Graphs

I'm working through Deep Learning by Goodfellow et al. The textbook introduces backpropagation for MLPs in page 203 (http://www.deeplearningbook.org/contents/mlp.html). However, it does not expand further and illustrate the (full or stochastic) gradient descent update.

I'd like to confirm the full gradient descent update is as below. Is this correct?