How to plot the computational graph and derive the update procedure of parameters using the backpropagation algorithm?
Please help me to solve this problem without a code (ps: this is a written problem):
Given the following loss function, please plot the computational graph, and derive the update procedure of parameters using the backpropagation algorithm,
where $W$ = {$W_1, W_2, W_3, W_4$}, $b$ = {$b_1, b_2, b_3, b_4$} denote the parameters; $x ∈ R^d$ indicates the input features; $y ∈ R$ is the ground-truth label.
Topic backpropagation loss-function neural-network algorithms machine-learning
Category Data Science