What is TensorFlow?And What is the Architecture of TensorFlow?

What is TensorFlow?

It is the most famous deep learning library in the world is Google's TensorFlow. Google uses machine learning to improve the search engine, translation, and image captioning in all of its products. As a result,  Google users can experience a faster and more refined search with AI. For instance, a user types a keyword the search bar. Google provides a recommendation about the next word, which will help the users to search more efficiently. 

Google wants to use TensorFlow to take advantage of their massive datasets in order to give their users the best user experience.  The three different groups that use machine learning are researchers, data scientists, and programmers. They can all use the same toolset to collaborate and improve their searching efficiency.

Google does not just have any data. They also have the world's most massive computer. Hence, Google built-in TensorFlow to scale to ensure that its users can search efficiently and find the information they need. In other words,  TensorFlow is a library developed by the Google Brain Team to accelerate machine learning and in-depth neural network research.

The Architecture of TensorFlow 

The architecture of Tensorflow spread into a major of three different, which are preprocessing the data, building the model, and training and estimating the model.

Google named it as Tensorflow because it takes input as a multi-dimensional array, known as tensors. Users can construct a sort of flowchart of operations (which is usually called a Graph) to perform that input. The input goes in at one end, and then it flows through this multiple operations system and comes out the other end as output.


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What is TensorFlow?And What is the Architecture of TensorFlow?