TensorFlow Google’s latest machine learning system open sourced for everyone

Posted by Jeff Dean, Senior Google Fellow, and Rajat Monga, Technical Lead

Deep Learning has had a huge impact on computer science, making it possible to explore new frontiers of research and to develop amazingly useful products that millions of people use every day. Our internal deep learning infrastructure DistBelief, developed in 2011, has allowed Googlers to build ever larger neural networks and scale training to thousands of cores in our datacenters. We’ve used it to demonstrate that concepts like “cat” can be learned from unlabeled YouTube images, to improve speech recognition in the Google app by 25%, and to build image search in Google Photos. DistBelief also trained the Inception model that won Imagenet’s Large Scale Visual Recognition Challenge in 2014, and drove our experiments in automated image captioning as well as DeepDream.

While DistBelief was very successful, it had some limitations. It was narrowly targeted to neural networks, it was difficult to configure, and it was tightly coupled to Google’s internal infrastructure - making it nearly impossible to share research code externally.

Today we’re proud to announce the open source release of TensorFlow -- our second-generation machine learning system, specifically designed to correct these shortcomings. TensorFlow is general, flexible, portable, easy-to-use, and completely open source. We added all this while improving upon DistBelief’s speed, scalability, and production readiness -- in fact, on some benchmarks, TensorFlow is twice as fast as DistBelief (see the whitepaper for details of TensorFlow’s programming model and implementation).

TensorFlow has extensive built-in support for deep learning, but is far more general than that -- any computation that you can express as a computational flow graph, you can compute with TensorFlow (see some examples). Any gradient-based machine learning algorithm will benefit from TensorFlow’s auto-differentiation and suite of first-rate optimizers. And it’s easy to express your new ideas in TensorFlow via the flexible Python interface.

Inspecting a model with TensorBoard, the visualization tool

TensorFlow is great for research, but it’s ready for use in real products too. TensorFlow was built from the ground up to be fast, portable, and ready for production service. You can move your idea seamlessly from training on your desktop GPU to running on your mobile phone. And you can get started quickly with powerful machine learning tech by using our state-of-the-art example model architectures. For example, we plan to release our complete, top shelf ImageNet computer vision model on TensorFlow soon.

But the most important thing about TensorFlow is that it’s yours. We’ve open-sourced TensorFlow as a standalone library and associated tools, tutorials, and examples with the Apache 2.0 license so you’re free to use TensorFlow at your institution (no matter where you work).

Our deep learning researchers all use TensorFlow in their experiments. Our engineers use it to infuse Google Search with signals derived from deep neural networks, and to power the magic features of tomorrow. We’ll continue to use TensorFlow to serve machine learning in products, and our research team is committed to sharing TensorFlow implementations of our published ideas. We hope you’ll join us at www.tensorflow.org.

Read More..

Get every trick latest in advance become a member of my blog

Our blog need some members for testing various tricks in different states, as i have got many comments that trick is not working in their area, so i need more member for my site. All the members will get every trick first and will also get their respective names on my blog. For being member on my blog http://bestcomputertutorials.blogspot.com, you need to send the following details to my e-mail nveenjain@gmail.com, the reason is also listed:-

1.)State:- It is most important as i will be able to tell users that its working or not in the state
2.)Real Name:- your real name is also needed to be send so that we can contact you online.
3.)Email address (Not needed if you are sending from permanent e-mail address)
4.)Phone number (Optional):- We can contact you at that time when we got the trick through the phone, so easy and simple.We may  give missed call or SMS or even call you to make aware you to check the mail.
5.) Blog or website (if you have):- We can link to your website then you will get a good  quality of traffic.

Risk Involved:-
I am not a cheater, thats why i would disclose the only risk i face:-The only risk is balance deduction if it does not work in your area, however, if it does not work, even then we will post your name on blog because of your good work. If I tell you to activate plan like of R. 9 then you are responsible for Rs. not me, but i will post your link and Facebook profile or fan page and everything.

Terms and conditions:-
You will be contacted through e-mail, if after 2 days, we dont get the reply, then either we will block you or contact you through phone SMS or call. and if we dont get response in 20 minutes then your membership will be violated. Every person will be treated equally, even me also, if I am wrong, you can correct me. If i dont respond without information, call me, i will within 20 minutes. If you found a trick that is working, you will specially given a post with your name and link and all the stuff you want.
If you say, its working and i from anywhere got information that its not working, then you can be asked for reasons or temporarily banned from getting any trick in advance. You can also tell your Facebook or twitter profile/page if you dont have blog.

Read More..