from library.neural_network.tensorflow_interface.activation_layer import ActivationLayer
import tensorflow as tf


class DropOut(ActivationLayer):

    def __init__(self, act_func=tf.nn.dropout, keep_prob=0.5, noise_shape=
        None, scope='Dropout', tb_manager=None):
        ActivationLayer.__init__(self, act_func=act_func, keep_prob=
            keep_prob, noise_shape=noise_shape, scope=scope, tb_manager=
            tb_manager)

bef0a790a9e81b726ce25bf6b97ee061fd58a049
<mask token>

<mask token>


class DropOut(ActivationLayer):
    <mask token>

<mask token>


class DropOut(ActivationLayer):

    def __init__(self, act_func=tf.nn.dropout, keep_prob=0.5, noise_shape=
        None, scope='Dropout', tb_manager=None):
        ActivationLayer.__init__(self, act_func=act_func, keep_prob=
            keep_prob, noise_shape=noise_shape, scope=scope, tb_manager=
            tb_manager)

from library.neural_network.tensorflow_interface.activation_layer import ActivationLayer
import tensorflow as tf


class DropOut(ActivationLayer):

    def __init__(self, act_func=tf.nn.dropout, keep_prob=0.5, noise_shape=
        None, scope='Dropout', tb_manager=None):
        ActivationLayer.__init__(self, act_func=act_func, keep_prob=
            keep_prob, noise_shape=noise_shape, scope=scope, tb_manager=
            tb_manager)
