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

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