methods.py 文件源码

def dropout(X, dropout_prob=0.0):
    retain_prob = 1 - dropout_prob
    srng = RandomStreams(seed=1234)
    X *= srng.binomial(X.shape, p=retain_prob, dtype=theano.config.floatX)
    X /= retain_prob
    return X

# def dropout(x, dropout_prob):
#     if dropout_prob < 0. or dropout_prob > 1.:
#         raise Exception('Dropout level must be in interval [0, 1]')
#     retain_prob = 1. - dropout_prob
#     sample=np.random.binomial(n=1, p=retain_prob, size=x.shape)
#     x *= sample
#     x /= retain_prob
#     return x