| Package | Description |
|---|---|
| org.nd4j.linalg.activations.impl |
| Modifier and Type | Class and Description |
|---|---|
class |
ActivationCube
f(x) = x^3
|
class |
ActivationELU |
class |
ActivationGELU |
class |
ActivationHardSigmoid
f(x) = min(1, max(0, 0.2*x + 0.5))
|
class |
ActivationHardTanH
⎧ 1, if x > 1
f(x) = ⎨ -1, if x < -1
⎩ x, otherwise
|
class |
ActivationIdentity
f(x) = x
|
class |
ActivationLReLU
Leaky RELU
f(x) = max(0, x) + alpha * min(0, x)
alpha defaults to 0.01
|
class |
ActivationMish
https://arxiv.org/ftp/arxiv/papers/1908/1908.08681.pdf
|
class |
ActivationPReLU |
class |
ActivationRationalTanh |
class |
ActivationRectifiedTanh |
class |
ActivationReLU
f(x) = max(0, x)
|
class |
ActivationReLU6 |
class |
ActivationRReLU |
class |
ActivationSELU
https://arxiv.org/pdf/1706.02515.pdf
|
class |
ActivationSigmoid
f(x) = 1 / (1 + exp(-x))
|
class |
ActivationSoftmax
f_i(x) = exp(x_i - shift) / sum_j exp(x_j - shift)
where shift = max_i(x_i)
|
class |
ActivationSoftPlus
f(x) = log(1+e^x)
|
class |
ActivationSoftSign
f_i(x) = x_i / (1+|x_i|)
|
class |
ActivationSwish
f(x) = x * sigmoid(x)
|
class |
ActivationTanH
f(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
|
class |
ActivationThresholdedReLU
Thresholded RELU
f(x) = x for x > theta, f(x) = 0 otherwise.
|
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