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tf.truncated_normal

tf.truncated_normal

作者: Niling | 来源:发表于2017-06-21 20:46 被阅读0次

    truncated_normal(
    shape,
    mean=0.0,
    stddev=1.0,
    dtype=tf.float32,
    seed=None,
    name=None
    )
    Defined in tensorflow/python/ops/random_ops.py.

    Outputs random values from a truncated normal distribution.

    The generated values follow a normal distribution with specified mean and standard deviation, except that values whose magnitude is more than 2 standard deviations from the mean are dropped and re-picked.

    Args:

    shape: A 1-D integer Tensor or Python array. The shape of the output tensor.
    mean: A 0-D Tensor or Python value of type dtype. The mean of the truncated normal distribution.
    stddev: A 0-D Tensor or Python value of type dtype. The standard deviation(标准差) of the truncated normal distribution.
    dtype: The type of the output.
    seed: A Python integer. Used to create a random seed for the distribution. See tf.set_random_seed for behavior.
    name: A name for the operation (optional).

    Returns:

    A tensor of the specified shape filled with random truncated normal values.



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