Tensorflow is an open-source library for machine learning and data analysis. It is a tool that allows you to quickly and scalably build machine learning models on both single-processor and multiprocessor computers, as well as on mobile devices.
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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?
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.
To install the current version, which includes support for CUDA-enabled GPU cards (Ubuntu and Windows), type the following command:
pip install tensorflow
yarn add @tensorflow/tfjs