activation_mish: Mish
In tfaddons: Interface to 'TensorFlow SIG Addons'
Description
Usage
Arguments
Details
Value
Description
Mish: A Self Regularized Non-Monotonic Neural Activation Function.
Usage
1
Arguments
x
A 'Tensor'. Must be one of the following types: 'float16', 'float32', 'float64'.
Returns: A 'Tensor'. Has the same type as 'x'.
Details
Computes mish activation: x * tanh(softplus(x))
See [Mish: A Self Regularized Non-Monotonic Neural Activation Function](https://arxiv.org/abs/1908.08681).
Value
A 'Tensor'. Has the same type as 'x'.
tfaddons documentation built on July 2, 2020, 2:12 a.m.
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Description Usage Arguments Details Value
Description
Mish: A Self Regularized Non-Monotonic Neural Activation Function.
Usage
1 |
Arguments
x |
A 'Tensor'. Must be one of the following types: 'float16', 'float32', 'float64'. Returns: A 'Tensor'. Has the same type as 'x'. |
Details
Computes mish activation: x * tanh(softplus(x)) See [Mish: A Self Regularized Non-Monotonic Neural Activation Function](https://arxiv.org/abs/1908.08681).
Value
A 'Tensor'. Has the same type as 'x'.
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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