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How can I calculate the slope of the perceptron's equation?

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calculate derivative in that point either proper way with formulas, or lazy way: x->y1 x+0.001->y2 (y1-y2)/0.001 = slope you want

`-47 48 Автор вопроса
Defragmented Panda
calculate derivative in that point either proper w...

1) Somebody told me perceptron is just a line based on the training dataset. 2) The bias in the perceptron is the b in a simple line equation. mx+b=y 3) What I want to get is the m of a perceptron which has 2 weights.

` 47 48
1) Somebody told me perceptron is just a line base...

1) this is wrong. all of the neural network stuff relies on non-linearity. usually done by activation function 2) there should be an activation function. something like tanh(mx+b). if not then its wrong. 3) if you insist, then take average of weights. (m1+m2)/2

`-47 48 Автор вопроса
Defragmented Panda
1) this is wrong. all of the neural network stuff ...

1) I meant with ignoring the activation function. sry. 2) Right... mine is a sign function. I returns +1 or -1. 3) Thanks, but I don't know why it doesn't work!

Defragmented Panda
1) this is wrong. all of the neural network stuff ...

what's the source of the first and second claim? for me it's clearly a neural network to solve linear regressions, it's still a neural network just not interesting

David Cuadrado 🖍
what's the source of the first and second claim? f...

all layers will collapse into 1 so, linear neural network always can be represented by 1 layer neural network. which is usually not called such today

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