Searched refs:softsign (Results 1 – 25 of 26) sorted by relevance
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39 softsign = nn_ops.softsign(np_features)40 tf_softsign = self.evaluate(softsign)42 self.assertShapeEqual(np_softsign, softsign)60 y = nn_ops.softsign(x, name="softsign")76 nn_ops.softsign(constant_op.constant(7)).eval()
7 The backpropagated gradients to the corresponding softsign operation.13 The features passed as input to the corresponding softsign operation.22 summary: "Computes softsign gradients for a softsign operation."
3 summary: "Computes softsign: `features / (abs(features) + 1)`."
4 name: "nn.softsign"7 name: "math.softsign"
131 def softsign(x): function140 return nn.softsign(x)
106 def softsign(x): function110 f = keras.backend.function([x], [keras.activations.softsign(x)])113 expected = softsign(test_values)
3882 def softsign(x): function3891 return nn.softsign(x)
30 from tensorflow.python.keras.activations import softsign
52 name: "softsign"
288 name: "softsign"
408 name: "softsign"
476 name: "softsign"
368 name: "softsign"
480 name: "softsign"
89 from tensorflow.contrib.distributions.python.ops.bijectors.softsign import *
23 from tensorflow.contrib.distributions.python.ops.bijectors.softsign import Softsign
42 % 2. In the case of hardsign or softsign, it's possible to hyphen after these signs.
136 from tensorflow.python.keras.backend import softsign
89 nn.softsign,
2150 @RegisterPForWithArgs("Softsign", nn_ops.softsign)
97 ("Softsign", nn.softsign),
396 nn.softsign(array_ops.matrix_transpose(raw)))
391 nn_ops.softsign,