Understanding LSTM Networks (2015)

Posted on August 27, 2015

Recurrent Neural Networks
Humans don’t start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. You don’t throw everything away and start thinking from scratch again. Your thoughts have persistence.
Traditional neural networks can’t do this, and it seems like a major shortcoming. For example, imagine you want to classify what kind of event is happening at every point in a movie. It’s unclear how a traditional neural network could use its reasoning about previous events in the film to inform later ones.
Recurrent neural networks address this issue. They are networks with loops in them, allowing information to persist.

Recurrent Neural Networks have loops.

In the above diagram, a chunk of neural network, (A), looks at some input (x_t) and outputs a value (h_t). A loop allows information to be passed from one step of

Original URL: http://feedproxy.google.com/~r/feedsapi/BwPx/~3/OtILwPw3VJc/

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Keras and deep learning on the Raspberry Pi

Today’s blog post is the most fun I’ve EVER had writing a PyImageSearch tutorial.
It has everything we have been discussing the past few weeks, including:
Deep learning
Raspberry Pis
3D Christmas trees
References to HBO’s Silicon Valley “Not Hotdog” detector
Me dressing up as Santa Clause!
In keeping with the Christmas and Holiday season, I’ll be demonstrating how to take a deep learning model (trained with Keras) and then deploy it to the Raspberry Pi.
But this isn’t any machine learning model…
This image classifier has been specifically trained to detect if Santa Claus is in our video stream.
And if we do detect Santa Claus…
Well. I won’t spoil the surprise (but it does involve a 3D Christmas tree and a jolly tune).
Enjoy the tutorial. Download the code. Hack with it.
And most of all, have fun!

Keras and deep learning on the Raspberry Pi
Today’s blog post is a complete guide to running a deep neural network on the Raspberry Pi

Original URL: http://feedproxy.google.com/~r/feedsapi/BwPx/~3/aSjlq6RivOg/

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The Internet Archive’s OpenLibrary project violates copyright, the Authors Guild warns

Four years ago, on the old site, I wrote about how Archive.org’s OpenLibrary project was systematically violating the copyrights of a number of authors, including Diane Duane and Mercedes Lackey. Archive.org seemed to feel that making digital copies of paper books and loaning them out as if they were the paper books as long as it restricted the paper books from circulating while the digital media were out was a fair use of those books. Even though the Authors Guild had been absolutely gung-ho about chasing Google all the way to the Supreme Court just for serving up snippets, the Internet Archive checking out entire books was somehow beneath its notice.
After that, the strangest thing happened: nothing.
For four years, Archive.org has chugged right along digitizing books and setting them up for checkout, without the Authors Guild or anyone else saying one word about it. And while I will admit that, in

Original URL: https://teleread.org/2017/12/19/the-internet-archives-openlibrary-project-violates-copyright-the-authors-guild-warns/

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