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Derek Farren
Works at @WalmartLabs
Attends Stanford University
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Great location Derek...­čśë­čśë´╗┐
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If sometimes git commands don't make much sense to you (as it happens to me), check this blog post.

http://blog.osteele.com/posts/2008/05/my-git-workflow/´╗┐
My Git Workflow. May 9, 2008. Git's great! But it's difficult to learn (it was for me, anyway) ÔÇô especially the index, which unlike the power-user features, comes up in day-to-day operation. Here's my path to enlightment, and how I ended up using the index in my particular workflow.
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Very cool tool to find LaTeX symbols commands.

http://detexify.kirelabs.org/classify.html´╗┐
An approach to simplify finding LaTeX symbols.
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Great video.

knowledge != skill.´╗┐
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I am wordless... can't believe this happens in the US.´╗┐
 
(J)┬áCommitting adultery is a choice, being homosexual is not, but yet these people somehow believe that gays are bigger "sinners" than adulterers are.´╗┐
Committing adultery is a choice, being homosexual is not, but yet these people somehow believe that gays are bigger "sinners" than adulterers are
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Sometimes I really wish the confederate states had left the union.. But then I think of how horrible life would be there...´╗┐
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This is why I believe all these softwares that make the development of machine learning algorithms accessible to the layman won't work.´╗┐
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Excellent short tutorial.´╗┐
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This is amazing. Makes me believe someday we will enjoy machine generated art.´╗┐
 
All of these images were computer generated!

For the last few weeks, Googlers have been obsessed with an internal visualization tool that Alexander Mordvintsev in our Zurich office created to help us visually understand some of the things happening inside our deep neural networks for computer vision.  The tool essentially starts with an image, runs the model forwards and backwards, and then makes adjustments to the starting image in weird and magnificent ways.  

In the same way that when you are staring at clouds, and you can convince yourself that some part of the cloud looks like a head, maybe with some ears, and then your mind starts to reinforce that opinion, by seeing even more parts that fit that story ("wow, now I even see arms and a leg!"), the optimization process works in a similar manner, reinforcing what it thinks it is seeing.  Since the model is very deep, we can tap into it at various levels and get all kinds of remarkable effects.

Alexander, +Christopher Olah, and Mike Tyka wrote up a very nice blog post describing how this works:

http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html

There's also a bigger album of more of these pictures linked from the blog post:

https://goo.gl/photos/fFcivHZ2CDhqCkZdA

I just picked a few of my favorites here.´╗┐
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Evolution of the mobile phone

h/t @itredux´╗┐
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http://bit.ly/separation-of-church-and-state-JFK

John F. Kennedy - Address to the Greater Houston Ministerial Association delivered 12 September 1960 at the Rice Hotel in Houston, TX┬á´╗┐
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    Principal Data Scientist, present
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