TensorFlow: Difference between revisions

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(Created page with "'''TensorFlow''' is a popular open-source library developed by Google for machine learning and deep learning applications. It is a symbolic math library that uses dataflow and differentiable programming to perform a variety of tasks such as classification, regression, and clustering. TensorFlow can be used with Python, C++, and Java. It is also available for mobile and embedded devices. TensorFlow is designed to be scalable and able to run on multiple platforms,...")
 
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'''TensorFlow''' is a popular open-source library developed by Google for machine learning and deep learning applications. It is a symbolic math library that uses dataflow and differentiable programming to perform a variety of tasks such as classification, regression, and clustering. TensorFlow can be used with [[Python]], [[C++]], and Java. It is also available for mobile and embedded devices. TensorFlow is designed to be scalable and able to run on multiple platforms, including CPUs, GPUs, and TPUs. It also supports traditional machine learning algorithms and neural networks.
'''TensorFlow''' is an open-source software library for machine learning that can be used across a wide range of tasks but focuses on training and inference so that models can be deployed easily to production environments. It can be used in several flavours of programming languages, including [[Python]], [[C++]], [[JavaScript]], and [[Java]]. This flexibility opens a range of applications it can be used.
 
[[Category:Software]] [[Category:Machine learning software]]

Latest revision as of 15:07, 29 December 2022

TensorFlow is an open-source software library for machine learning that can be used across a wide range of tasks but focuses on training and inference so that models can be deployed easily to production environments. It can be used in several flavours of programming languages, including Python, C++, JavaScript, and Java. This flexibility opens a range of applications it can be used.