tf.keras.initializers.he_uniform
Stay organized with collections
Save and categorize content based on your preferences.
He uniform variance scaling initializer.
tf.keras.initializers.he_uniform(
seed=None
)
It draws samples from a uniform distribution within [-limit, limit]
where limit is sqrt(6 / fan_in)
where fan_in is the number of input units in the weight tensor.
Arguments |
|---|
seed
|
A Python integer. Used to seed the random generator.
|
References:
He et al., 2015
(pdf)
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]
View source on GitHub