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nbro
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Why do non-linear activation functions that produce values larger than 1 or smaller than 0 work?

Can someone please point me to where I can read up on whyWhy do non-linearitieslinear activation functions that can produce values larger than 1 or smaller than 0 work?

My understanding is that neurons can only produce values between 0 and 1, and that this assumption can be used in things like cross-entropy. Are my assumptions just completely wrong?

Is there any reference that explains this?

Why do non-linear functions that produce values larger than 1 or smaller than 0 work?

Can someone please point me to where I can read up on why non-linearities that can produce values larger than 1 or smaller than 0 work?

My understanding is that neurons can only produce values between 0 and 1, and that this assumption can be used in things like cross-entropy. Are my assumptions just completely wrong?

Why do non-linear activation functions that produce values larger than 1 or smaller than 0 work?

Why do non-linear activation functions that produce values larger than 1 or smaller than 0 work?

My understanding is that neurons can only produce values between 0 and 1, and that this assumption can be used in things like cross-entropy. Are my assumptions just completely wrong?

Is there any reference that explains this?

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nbro
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  • 205

Why does ReLU (and otherdo non linearities)-linear functions that produce values larger than 1 or smaller than 0 work?

Can someone please point me to where I can read up on why non linearities-linearities that can produce values larger than 1 or smaller than 0 work.?

My understanding is that neurons can only produce values between 0 and 1, and that this assumption can be used in things like cross entropy-entropy. Are my assumptions just completely wrong?

Why does ReLU (and other non linearities) work?

Can someone please point me to where I can read up on why non linearities that can produce values larger than 1 or smaller than 0 work. My understanding is that neurons can only produce values between 0 and 1 and that this assumption can be used in things like cross entropy. Are my assumptions just completely wrong?

Why do non-linear functions that produce values larger than 1 or smaller than 0 work?

Can someone please point me to where I can read up on why non-linearities that can produce values larger than 1 or smaller than 0 work?

My understanding is that neurons can only produce values between 0 and 1, and that this assumption can be used in things like cross-entropy. Are my assumptions just completely wrong?

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Why does ReLU (and other non linearities) work?

Can someone please point me to where I can read up on why non linearities that can produce values larger than 1 or smaller than 0 work. My understanding is that neurons can only produce values between 0 and 1 and that this assumption can be used in things like cross entropy. Are my assumptions just completely wrong?