A softmax layer in a neural network takes an input vector x and produces an output vector
Question:
A softmax layer in a neural network takes an input vector x and produces an output vector y, where
Show that the sigmoid function is equivalent to a softmax with d = 2.
Transcribed Image Text:
yj = ej Σ=1 ek
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The softmax function is defined as follows for a vector x of length d softmaxxi expxi sumexpxj for i ...View the full answer
Related Book For
Artificial Intelligence A Modern Approach
ISBN: 9780134610993
4th Edition
Authors: Stuart Russell, Peter Norvig
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