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Just i want check manually Q 7 . Given the data points below, train the neural network function, implemented in Q 1 , using the
Just i want check manually Q Given the data points below, train the neural network function, implemented in Q using the backpropagation algorithm. To do so follow the steps below.
points
table
Randomly initialize the parameters: b and b
Randomly select a data point: and
Pass the parameters to backpropagate algorithm to get the updating weights and biases.
Check manually if the results you got are correct.
Repeat steps and until there is no changes in weights and biases.
How many iterations did you do What are the converged values of Ws and bs
Extra. How can you implement a neural network in a general way? In which you do not need to write another customized code for a layer, layer, or even more layers.
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