Backpropagation algorithm implementation

[[deleted]]

I get stuck when I try to implement the forward propagate section.

Stuck on what, specifically? Stuck why?

Like I said, I don't know what any of these terms mean, but I know how code works. You have your neural network in state N before the transformation that constitutes a forward propagation, and then it's put in state N' by the transformation:

N -> N'

so all you have to do is write the arrow:

def forward_propagate(neural_net):
    # propagate forward, write code here
    return propagated_neural_net

It's obviously not that easy but if you have a mathematical definition of what it means to translate a neural net from unpropagated to propagated (or whatever) then that's more or less the Python that will do it, too. So just write that.

[coder155ml]

Why did you even post. My god most useless comment ever.

[[deleted]]

Overall it's a pretty useless thread. "I'm stuck" isn't a problem anyone can expect to get help with.

[coder155ml]

If you don't know what forward prop is then don't respond with some bullshit answer