| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| activations.py | 100 @tf_export('keras.activations.sigmoid')
101 def sigmoid(x): function
102 return K.sigmoid(x)
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| /external/tensorflow/tensorflow/python/ops/ |
| nn.py | 32 @@sigmoid
116 from tensorflow.python.ops.math_ops import sigmoid
134 # TODO(cwhipkey): sigmoid and tanh should not be exposed from tf.nn.
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| hidden_ops.txt | 284 Sigmoid
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| nn_impl.py | 112 """Computes sigmoid cross entropy given `logits`.
121 z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))
196 targets * -log(sigmoid(logits)) +
197 (1 - targets) * -log(1 - sigmoid(logits))
207 targets * -log(sigmoid(logits)) * pos_weight +
208 (1 - targets) * -log(1 - sigmoid(logits))
213 qz * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))
295 sigmoid_features = math_ops.sigmoid(features
[all...] |
| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| unary_ops.cc | 148 // Expresses sigmoid as a rescaled tanh: sigmoid(x) == (tanh(x/2) + 1) / 2.
149 static xla::ComputationDataHandle Sigmoid(xla::ComputationBuilder* b,
155 XLAJIT_MAKE_UNARY(Sigmoid, Sigmoid(b, input_type(0), x));
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| /external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/ |
| losses.py | 138 modified_predictions are 1 if sigmoid is >= 0.5+eps (eg we predict positive
139 class), -1 if sigmoid < 0.5-eps (e.g. we predict negative class) and ax+b in
158 modified_predictions are 1 if sigmoid is >= 0.5+eps (eg we predict positive
159 class), -1 if sigmoid < 0.5-eps (e.g. we predict negative class) and ax+b in
199 probs = math_ops.sigmoid(logits)
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| /external/tensorflow/tensorflow/contrib/specs/ |
| README.md | 25 represents a fully connected layer followed by a sigmoid, whereas `Ft`
34 Nonlinearities (suffixes for C/F, so Cs = convolutional layer + sigmoid):
36 - `s` = sigmoid
51 - `Sig` = tf.nn.sigmoid
191 Sig = Import("import tensorflow as tf; f = tf.nn.sigmoid")
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| /external/tensorflow/tensorflow/compiler/tests/ |
| lstm.py | 72 in_gate = math_ops.sigmoid(in_gate)
73 forget_gate = math_ops.sigmoid(forget_gate)
74 out_gate = math_ops.sigmoid(out_gate)
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| lstm_layer_inference.pbtxt | [all...] |
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| geometric.py | 194 # log[1-sigmoid(s)]
200 # 1-sigmoid(s) = sigmoid(-s) = 1/(1+exp(s))
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| /external/tensorflow/tensorflow/contrib/lite/kernels/ |
| activations_test.cc | 71 // implementation of sigmoid and software, but a tolerance of twice the output
146 TEST(FloatActivationsOpTest, Sigmoid) {
160 TEST(QuantizedActivationsOpTest, Sigmoid) {
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| /external/tensorflow/tensorflow/contrib/nn/python/ops/ |
| cross_entropy.py | 132 """Computes sigmoid cross entropy given `logits`.
144 z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))
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| /external/tensorflow/tensorflow/contrib/rnn/kernels/ |
| gru_ops.h | 98 // Slice r_u_bar into r, u and apply the sigmoid.
99 r.device(d) = (r_u_bar.slice(ru_r_offset(), cell_extents())).sigmoid();
100 u.device(d) = (r_u_bar.slice(ru_u_offset(), cell_extents())).sigmoid();
|
| /external/webrtc/webrtc/modules/audio_processing/ns/ |
| nsx_core_c.c | 98 // compute indicator function: sigmoid map
127 // compute indicator function: sigmoid map
174 // compute indicator function: sigmoid map
|
| /device/google/contexthub/firmware/os/algos/common/math/ |
| macros.h | 32 #define SIGMOID(x) (1 / (1 + expf(-x)))
|
| /external/libopus/silk/ |
| sigm_Q15.c | 32 /* Approximate sigmoid function */
|
| define.h | 189 /* Sigmoid settings */
190 #define VAD_NEGATIVE_OFFSET_Q5 128 /* sigmoid is 0 at -128 */
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| /external/tensorflow/tensorflow/contrib/keras/api/keras/activations/ |
| __init__.py | 27 from tensorflow.python.keras._impl.keras.activations import sigmoid
|
| /external/tensorflow/tensorflow/python/keras/activations/ |
| __init__.py | 27 from tensorflow.python.keras._impl.keras.activations import sigmoid
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| /external/tensorflow/tensorflow/contrib/labeled_tensor/ |
| __init__.py | 76 sigmoid = _core.sigmoid variable
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| /external/tensorflow/tensorflow/compiler/xla/service/ |
| hlo_cost_analysis_test.cc | 85 // Create a computation for a sigmoid function: x => 1 / (1 + exp(-x))
87 ComputationBuilder builder(client_, "sigmoid");
287 // sigmoid(input * weight + bias)
298 // 600 flops from sigmoid, and 200 transcendental ops from sigmoid.
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| /external/tensorflow/tensorflow/core/kernels/ |
| word2vec_kernels.cc | 295 // Scalar buffer to hold sigmoid(+/- dot).
314 // l = log(sigmoid(x))
315 // backward: dl/dx = g = sigmoid(-x)
328 // l = log(sigmoid(-x))
329 // backward: dl/dx = g = -sigmoid(x)
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| eigen_activations.h | 25 * \brief Template functor to compute the fast derivative of a sigmoid
|
| /external/jemalloc/include/jemalloc/internal/ |
| smoothstep.sh | 3 # Generate a discrete lookup table for a sigmoid function in the smoothstep
|
| /external/tensorflow/tensorflow/python/estimator/canned/ |
| baseline_test.py | 116 def sigmoid(x): function
850 # loss = 1 * -log ( sigmoid(logits) ) = 0.69315
898 # so, loss = 1 * -log ( sigmoid(-1) ) = 1.3133
[all...] |
