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Machine learning is quite complex, but implementing machine learning models is much less daunting than it used to be, thanks to libraries such as TensorFlow.


What is TensorFlow?

TensorFlow is an open source library written by Google Brain Team. It is used in machine learning and deep neural networks. It was released on November 9, 2015. In TensorFlow, we can use Python or Javascript language to write front-end. TensorFlow interface APIs are available in several languages, both for creating and executing graphs. The Python language API interface is currently the most complete and easiest to use, but APIs from other languages may be easier to integrate into projects. The TensorFlow API allows us to write in languages such as Python, Javascript, C++ and Java.


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How does TensorFlow work?

TensorFlow represents calculations using graphs. The vertices of the graphs are responsible for representing mathematical operations, while the edges of the graphs are the tensors that connect the vertices. TensorFlow takes in input data as a multi-dimensional array called Tensor, then this data is processed by TensorFlow.


Installing TensorFlow

To install the current version, which includes support for CUDA-enabled GPU cards (Ubuntu and Windows), type the following command:

pip install tensorflow


If you want to perform TensorFlow installation for javascript, use the following command:

yarn add @tensorflow/tfjs

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