Neural networks
Archiviert 2 days ago
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I have pretty good basics in python and math, but for some reason its been like 2-3 days of reading on neural networks and this just makes no sense to me.
the most complicated ideas are activation functions and backpropagation
i mean
does a neural network learn basically through calculated trials and errors?
and what is the significance of activation functions i mean i get it turns the graphs from linear to curved graphs by causing bends in them and stuff but like how is that significant in any way?
the most complicated ideas are activation functions and backpropagation
i mean
does a neural network learn basically through calculated trials and errors?
and what is the significance of activation functions i mean i get it turns the graphs from linear to curved graphs by causing bends in them and stuff but like how is that significant in any way?