(post deleted by author)
Welp… There goes my polls.
I tried to hide them under details tag, but that ended up resetting their data AND it doesn’t hide the polls properly.
Now I just removed them completely because it makes my post extremely cluttered.
So I’m trying to learn about how ai learns, and I’m having trouble with all the learning processes like backpropagation and how to change weights off that. Genetic algorithms are easier; just making feed-forward networks and changing weights off the one with best fitness or the ones with best fitness. The one that’s hard to understand is backpropagation and the others that use states and actions. If you aren’t too busy could you help or provide me with some info about that?
I really appreciate any help you can provide!
Are you asking in terms of coding support or theoretical understanding? It isn’t clear what you’re asking here.
Personally, i recommend reviewing some mathworks first before moving onto machine learning and furthermore deep learning, e.g., calculus, linear algebra and probability and statistics. And some basic elements of deep learning (maybe optimization strategy like SGD and Adam, loss functions etc.) These are the fundamentals, literally I got into trouble with stochastic gradient descent as first, not even mentioning backpropagation for updating the weights of FFN
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I think i need to understand both sorry for not being clear
Thank you so much, I’ll make sure to learn that
Since that other guy pretty much covered the theoretical aspect, I don’t really need to explain all that.
However, I would like to know if you have read the documentation already? Those contains important tutorials for you to cover. For beginners like you, all you need to cover the ones that are clearly marked “Level 1”, as well as the Neural Networks part.