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github.com/arrayfire/arrayfire
/ prop_up
Method
prop_up
examples/machine_learning/deep_belief_net.cpp:103–105 ·
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Source
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101
}
102
103
array prop_up(const array &in) {
104
return sigmoid(tile(h_bias, in.dims(0)) + matmulNT(in, weights));
105
}
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};
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class dbn {
Callers
1
train
Method · 0.45
Calls
4
matmulNT
Function · 0.85
sigmoid
Function · 0.50
tile
Function · 0.50
dims
Method · 0.45
Tested by
no test coverage detected