INNER CODE UNIT · Python

adv_out

aiff22/DPED · models.py:80

        adv_out = tf.nn.softmax(tf.matmul(fc, W_out) + bias_out)
    
    return adv_out


def weight_variable(shape, name):

    initial = tf.compat.v1.truncated_normal(shape, stddev=0.01)
    return tf.Variable(initial, name=name)


def bias_variable(shape, name):

    initial = tf.constant(0.01, shape=shape)
    return tf.Variable(initial, name=name)


def conv2d(x, W):

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