Fibonacci, I can just

Here is Bayes Rule, and in practice, what we find is this term here is relatively easy to compute.

The name back propagation comes from the fact that we start by computing the delta term for the output layer and then we go back a layer and compute the delta terms for the third hidden layer and then we go back another step to compute delta 2 and so, we're sort of back propagating the errors from the output layer to layer 3 to their to hence the name back complication.

lets give some spaces here if you want the first term, it is one! if you want any other term, if you want any other term so else, if you want this is else if e bu else neither of these is true so neither zero nor one if its some other number, its going to be

Okay, so you have a sense that these are considered to be pretty good algorithms.

What we do next is compute the delta terms for the earlier layers in our network.

And you just draw a stick figure, and it calculates the crease pattern.

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So we've now computed the era term's delta 4 for our network.

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What we need to do therefore is to write code that takes this input the parameters theta and computes j of theta and these partial derivative terms.

And, how about a second column?

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We're just multiplying the corresponding terms, the third term times the third term, the second term times the second term, the first term times the first term.

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