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In 2015, the Google Brain Team created the open-source machine learning framework known as TensorFlow. One of the most well-liked and frequently employed frameworks for creating machine learning models is this one. TensorFlow is made to make it simple for academics and developers to build and use sophisticated machine-learning models. A complete set of tools and libraries are offered for creating and refining machine learning models.
TensorFlow is built on the concept of data flow graphs, which are made of a sequence of nodes connected by edges. The edges indicate the flow of data between the nodes, while the nodes' nodes represent mathematical processes. Users of TensorFlow can build intricate data flow diagrams to represent intricate machine learning models. The framework then automatically optimizes the graph for maximum performance on CPUs, GPUs, and even specialized hardware like TPUs.
Some of the uses of TensorFlow include:
Overall, TensorFlow is a powerful and versatile machine-learning framework that is widely used across a range of industries and applications. With its comprehensive set of tools and libraries, developers and researchers can build and deploy advanced machine-learning models with ease.
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