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  /external/tensorflow/tensorflow/python/layers/
core.py 16 """Contains the core layers: Dense, Dropout.
191 @tf_export(v1=['layers.Dropout'])
192 class Dropout(keras_layers.Dropout, base.Layer):
193 """Applies Dropout to the input.
195 Dropout consists in randomly setting a fraction `rate` of input units to 0
201 rate: The dropout rate, between 0 and 1. E.g. `rate=0.1` would drop out
204 binary dropout mask that will be multiplied with the input.
206 `(batch_size, timesteps, features)`, and you want the dropout mask
220 super(Dropout, self).__init__(rate=rate
234 def dropout(inputs, function
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  /external/tensorflow/tensorflow/python/keras/layers/
convolutional_recurrent.py 77 when calling it. This is for use with cells that use dropout.
534 dropout: Float between 0 and 1.
545 training mode or in inference mode. Only relevant when `dropout` or
569 dropout=0.,
597 self.dropout = min(1., max(0., dropout))
652 # dropout matrices for input units
654 # dropout matrices for recurrent units
658 if 0 < self.dropout < 1.:
751 'dropout': self.dropout
1017 def dropout(self): member in class:ConvLSTM2D
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recurrent.py 253 when calling it. This is for use with cells that use dropout.
1463 def dropout(self): member in class:SimpleRNN
1987 def dropout(self): member in class:GRU
2603 def dropout(self): member in class:LSTM
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  /external/tensorflow/tensorflow/python/ops/
rnn_cell_impl.py 1373 def dropout(i, do_dropout, v): function in function:DropoutWrapperBase._dropout
1383 def dropout(i, do_dropout, v, n): function in function:DropoutWrapperBase._dropout
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nn_ops.py 4046 def dropout(x, keep_prob=None, noise_shape=None, seed=None, name=None, function
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  /external/tensorflow/tensorflow/contrib/layers/python/layers/
layers.py 63 'dense_to_sparse', 'dropout', 'elu', 'flatten', 'fully_connected', 'GDN',
1563 def dropout(inputs, function
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  /external/tensorflow/tensorflow/core/kernels/
cudnn_rnn_ops.cc 930 float dropout() const { return dropout_; } function in class:tensorflow::TFRNNInputMode::CudnnRNNKernelCommon
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  /external/tensorflow/tensorflow/python/keras/
backend.py 4069 def dropout(x, level, noise_shape=None, seed=None): function
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