zoneout: zoneout
In MarkusBonsch/mxLSTM: LSTM model for regression
Description
Usage
Arguments
Value
Description
Applies zoneout as described in Krueger et al. 2017
Usage
1
zoneout(thisState, prevState, p)
Arguments
thisState
the current state (mx.symbol)
prevState
the state from the previous sequence (mx.symbol).
p
zoneout probability in (0;1]. Rounded to 6 digits
Value
During training: out(t) = x(t) * thisState(t) + (1 - x(t)) * prevState(t).
x(t) is a 0/1 mask for each element t with the probability p of being 0.
During application: out(t) = (1 - p) * thisState(t) + p * prevState(t)
MarkusBonsch/mxLSTM documentation built on May 28, 2019, 6:40 a.m.
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Description Usage Arguments Value
Description
Applies zoneout as described in Krueger et al. 2017
Usage
1 | zoneout(thisState, prevState, p)
|
Arguments
thisState |
the current state (mx.symbol) |
prevState |
the state from the previous sequence (mx.symbol). |
p |
zoneout probability in (0;1]. Rounded to 6 digits |
Value
During training: out(t) = x(t) * thisState(t) + (1 - x(t)) * prevState(t). x(t) is a 0/1 mask for each element t with the probability p of being 0. During application: out(t) = (1 - p) * thisState(t) + p * prevState(t)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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