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TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17)

Google Cloud Platform · Youtube · 6 HN points · 1 HN comments
HN Theater has aggregated all Hacker News stories and comments that mention Google Cloud Platform's video "TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17)".
Youtube Summary
With TensorFlow, deep machine learning transitions from an area of research to mainstream software engineering. In this video, Martin Gorner demonstrates how to construct and train a neural network that recognises handwritten digits. Along the way, he'll describe some "tricks of the trade" used in neural network design, and finally, he'll bring the recognition accuracy of his model above 99%.

Content applies to software developers of all levels. Experienced machine learning enthusiasts, this video will introduce you to TensorFlow through well known models such as dense and convolutional networks. This is an intense technical video designed to help beginners in machine learning ramp up quickly.

Creating an Object Detection Application Using TensorFlow lab → http://bit.ly/2KI497Q
TensorFlow for Poets lab → http://bit.ly/2lMM8uc

Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h
Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
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Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this video.
This reminds me of dropout regularization where you improve a neural network by removing random neurons from the neural network.

See https://en.wikipedia.org/wiki/Dropout_(neural_networks) and https://youtu.be/u4alGiomYP4?t=33m53s

98Windows
Dropout is only used during training a neural network and also neurons are turned off not removed.
luckystarr
Well, the brain is constantly trained and used. :)
Mar 15, 2017 · 6 points, 0 comments · submitted by jonbaer
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