About TENSORFLOW

TENSORFLOW



TensorFlow is an open source software library for machine learning across a range of tasks. It is a system for building and training neural networks to detect and decipher patterns and correlations, analogous to (but not the same as) human learning and reasoning.It is used for both research and production at Google.
 It offers an application programming interface (API) in Python, as well as a lower level set of functions implemented using C++. It provides a set of features to enable faster prototyping and implementation of machine learning models and applications for highly heterogeneous computing platforms.
Tensorflow is an open source software library for numerical computation using data flow graphs.
The library is used for  Complex Numerical Computation to build machine learning models from scratch.
Tensorflow uses Directed Graph as its computational model, similar to Spark. Functions are nodes & edges data.
Data flow graph model makes it easily distributed - across CPUs, GPUs & multiple systems.
Deep Learning is heavily adopted across many companies using TensorFlow.
TensorFlow allows industrial researchers a faster product prototyping. It also provides academic researchers with a development framework and a community to discuss and support novel applications.

The figure shows the relationship between the surrounding elements and tensorflow
    

It is the great open sourcing the embedding projector and a good tool for visualizing high dimension data.





Tensorflow is just starting the project which can be improved a lot further.but the limitation of this project is with the machine learning.other applications in the market are better than Tensorflow.Since it is an open sourced so maximum people can take the benefits from it and can suggest some good ideas to improve the problem of the tensorflow.

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