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question about this part: > f(x) has to be a non-linear function, otherwise the neural network will only be able to learn linear models. I thought one of the
by 2bitencryption 8y ago
question about this part:
> f(x) has to be a non-linear function, otherwise the neural network will only be able to learn linear models.
I thought one of the most common functions was relu, which is linear (but cuts off to 0 for x values below 0)
https://en.wikipedia.org/wiki/Rectifier_(neural_networks) https://en.wikipedia.org/wiki/Rectifier_(neural_networks)
- brchr 8y agoIt’s exactly the cutoff at zero that puts the "kink" into the function which makes ReLU nonlinear. :)