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TensorFlow’s Architecture (i2tutorials)

What do you mean by Google’s TensorFlow, Explain TensorFlow’s Architecture and its work?

The most famous deep learning library in the world is Google’s TensorFlow. Google product uses machine learning in all of its products to improve the search engine, translation, image captioning or recommendations.

TensorFlow has high standards around measurement and transparency. The team has developed a set of detailed benchmarks and has been very careful to include all necessary details to reproduce.

Architecture

TensorFlow architecture works in three parts:

Preprocessing the data

Build the model

Train and estimate the model

It is called TensorFlow because it takes input as a multi-dimensional array, also known as tensors. You can construct a sort of flowchart of operations (called a Graph) that you want to perform on that input. The input goes in at one end, and then it flows through this system of multiple operations and comes out the other end as output.

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