softmax: Softmax activation functon
In gumeo/mnistr: Utility Functions for MNIST Dataset
Description
Usage
Arguments
Value
Examples
Description
sigmoid takes a vector and applies a softmax to it for
transforming it into probabilities. This is
normally used for an output layer in a neural
network for doing classification.
Usage
1
softmax(X)
Arguments
X
numeric vector or matrix (for minibatches)
Value
Same format as the input X.
Examples
1
2
gumeo/mnistr documentation built on May 17, 2019, 9:27 a.m.
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Description Usage Arguments Value Examples
Description
sigmoid takes a vector and applies a softmax to it for
transforming it into probabilities. This is
normally used for an output layer in a neural
network for doing classification.
Usage
1 | softmax(X)
|
Arguments
X |
numeric vector or matrix (for minibatches) |
Value
Same format as the input X.
Examples
1 2 |
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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