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Why Tensorflow

You have a lot of data which you want to make sense of, learn patterns, but you don't have the necessary expertice to develop algorithms that will learn through the data. Ofcourse you can develop your own machine learning algorithms to make sense of the data. There might be benifits in developing your own algorithms, proprietary being one, but you might have to invest time and money.

What if you have access to ready made machine learning algorithms which you just have to use in your products? Google's Tensorflow offers such tried and tested algorithms using APIs that you just have to call in your programs. All you have to provide is data, and Tensorflow will take care of the intelligence to learn.

Tensorflow adds the following capabilities to your products
1. Access to machine learning algorithms such as Neural Networks.
2. Increase performance of your models using multiple CPUs and GPUs without change in code.
3. Do numerical computations using data flow graphs.

To learn more about Tensorflow check Tensorflows official website at

Check the white paper of Tensorflow at

Check the presentation of Jeff Dean to know more about Tensorflow applications at Google

Install Tensorflow using

Go through Tensorflow tutorials at

Download and check source code of tutorials at

Keep following this blog as the researchers at Cerelabs try their hands on Tensorflow...


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