{"id":8858,"date":"2022-07-07T12:49:38","date_gmt":"2022-07-07T07:19:38","guid":{"rendered":"https:\/\/www.fusioninformatics.com\/blog\/?p=8858"},"modified":"2022-07-27T11:37:47","modified_gmt":"2022-07-27T06:07:47","slug":"what-is-tensorflow","status":"publish","type":"post","link":"https:\/\/www.fusioninformatics.com\/blog\/what-is-tensorflow\/","title":{"rendered":"What is TensorFlow? The Machine Learning Library Explained"},"content":{"rendered":"\n

TensorFlow is a hands-on machine learning platform<\/strong> that is free and open source. It is a symbolic math library that performs deep neural network training and inference tasks using dataflow and differentiable programming. It allows developers to create machine learning applications<\/strong><\/a> by combining a number of tools, libraries, and community resources.<\/p>\n\n\n\n

TensorFlow, developed by Google, is currently the most well-known deep learning library in the world. All of Google’s products use machine learning to improve the search engine, translation, image captioning, and recommendations.<\/p>\n\n\n\n

It combines models and algorithms from Machine Learning<\/strong> and Deep Learning<\/strong>. It makes use of Python<\/strong> as a convenient front-end and runs it in optimized C++<\/strong>.<\/p>\n\n\n\n

Developers can also create a graph of computations to perform. Each graph node represents a mathematical operation, and each connection represents data. As a result, instead of worrying about minor details like how to connect the output of one function to the input of another, the developer can concentrate on the overall logic of the application.<\/p>\n\n\n\n

TensorFlow was created in 2015 by Google Brain’s deep learning artificial intelligence<\/a> <\/strong>research team for internal use. The research team relies on this Open-Source Software library to complete a number of critical tasks.<\/p>\n\n\n\n

TensorFlow is the most popular software library<\/strong> at the moment. TensorFlow is popular due to several real-world deep learning applications. TensorFlow, an Open-Source deep learning<\/strong> and machine learning library<\/strong>, has applications in text-based applications, image recognition, voice search, and many more.<\/p>\n\n\n\n

TensorFlow is used for image recognition in DeepFace<\/strong>, Facebook’s image recognition system<\/strong>. It is used for voice recognition by Apple’s Siri<\/strong>. Every Google app you use makes good use of TensorFlow to improve your experience.<\/p>\n\n\n\n

TensorFlow’s Operation<\/strong><\/h2>\n\n\n\n

TensorFlow allows you to create dataflow graphs<\/strong> and structures to define how data moves through a graph by taking inputs in the form of a multidimensional array called Tensor. It enables you to create a flowchart of operations that can be performed on these inputs, which goes at one end and returns as output at the other.<\/p>\n\n\n\n

Architecture of TensorFlow<\/strong><\/h3>\n\n\n
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\"Architecture
blog.tensorflow.org<\/figcaption><\/figure>\n<\/div>\n\n\n

The name Tensorflow comes from the fact that it accepts input in the form of a multidimensional array, also known as a tensor. You can create a flowchart that details the operations you want to perform on that input (called a Graph). The input comes in at one end, flows through this complicated system of operations, and then exits as output at the other.<\/p>\n\n\n\n

Tensorflow architecture<\/a><\/strong> is divided into three parts:<\/p>\n\n\n\n