How can I update weights in the above model using Back Propagation?

Below are some requirements

Thx for the help!!

A neural network with: n3 M w1 w9 n1 2 inputs, 4 hidden layer neurons, 2 output neurons. w10 n4 A w2 x N W4 W3 n5 n2 ws w6 w7 B Y w8 n6 P 2. Please include comments to explain your code 3. Please declare a function name as CustomBPweight()" to accept 5 inputs 4. There are 5 inputs to the functions: a. Please declare a target output list name as TargetOutput" (Given) b. Please declare a current output list name as "CurrentOutput" (Given) c. Please declare a neuron output list name as "NeuronOutput" (Given) d. Please declare a current weights list name as "Current Weights e. Please declare a learning rate variable as LearningRate (Given) 5. The function CustomBPweight()" should return an output (a list with all updated weights). Please declare the updated weights list name as Update Weights" 6. For all given data, the value of all elements are between 0 and 1 7. Please identify the total number with weights according to the given model