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[R] Google’s Batch Normalization Patent has been granted and is now active until 2038

Application US15/009,647 events

2015-01-28 Priority to US201562108984P

2016-01-28 Application filed by Google LLC

2016-07-28 Publication of US20160217368A1

2019-09-17 Publication of US10417562B2

2019-09-17 Application granted

2019-10-15 Application status is Active

2038-01-01 Adjusted expiration

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using a neural network system that includes a batch normalization layer. One of the methods includes receiving a respective first layer output for each training example in the batch; computing a plurality of normalization statistics for the batch from the first layer outputs; normalizing each component of each first layer output using the normalization statistics to generate a respective normalized layer output for each training example in the batch; generating a respective batch normalization layer output for each of the training examples from the normalized layer outputs; and providing the batch normalization layer output as an input to the second neural

https://patents.google.com/patent/US20160217368A1/en

submitted by /u/JacksTurmoil
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.