W3cubDocs

/TensorFlow Python

tf.truncated_normal_initializer

class tf.truncated_normal_initializer

See the guide: Variables > Sharing Variables

Initializer that generates a truncated normal distribution.

These values are similar to values from a random_normal_initializer except that values more than two standard deviations from the mean are discarded and re-drawn. This is the recommended initializer for neural network weights and filters.

Args:

  • mean: a python scalar or a scalar tensor. Mean of the random values to generate.
  • stddev: a python scalar or a scalar tensor. Standard deviation of the random values to generate.
  • seed: A Python integer. Used to create random seeds. See tf.set_random_seed for behavior.
  • dtype: The data type. Only floating point types are supported.

Methods

__init__(mean=0.0, stddev=1.0, seed=None, dtype=tf.float32)

Defined in tensorflow/python/ops/init_ops.py.

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/truncated_normal_initializer