Difference between revisions of "Matrix Calculation"
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==Full Title or Meme== | ==Full Title or Meme== | ||
[[Matrix Calculation]]s are used to manipulate multidimensional arrays of numbers which might be real or complex. | [[Matrix Calculation]]s are used to manipulate multidimensional arrays of numbers which might be real or complex. | ||
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| + | ==Context== | ||
| + | While mathematicians have described matrix mathematics earlier, the first well-known application was when Werner Heisenberg's Quantum Mechanics was expressed by Max Born and his students in 1927.<ref>Pradeep Kumar, ''Heisenberg’s Invention of Matrices'' https://www.ias.ac.in/article/fulltext/reso/022/04/0399-0405</ref> | ||
==Tensor Flow== | ==Tensor Flow== | ||
| − | TensorFlow is a powerful open-source machine-learning framework developed by Google. It empowers developers to construct and train machine learning models. These models can be used for various applications, including | + | TensorFlow is a powerful open-source machine-learning framework developed by Google<ref>What is Tensorflow | TensorFlow Introduction - Javatpoint. https://www.javatpoint.com/tensorflow-introduction</ref> originally for Internet search. It empowers developers to construct and train machine learning models. These models can be used for various applications, including [[Quantum Mechanics]] and [[Artificial Intelligence]]. TensorFlow is based on Python and is widely used for numerical computation and data flow, making machine learning faster and easier<ref>What Is TensorFlow? A Brief Guide - HackerRank Blog. https://www.hackerrank.com/blog/what-is-tensorflow-a-brief-guide-to-the-machine-learning-framework/</ref>. The name "TensorFlow" comes from the mathematical term "[[Tensor]]," which represents multidimensional arrays of data. These tensors flow through a graph-like structure, where nodes represent mathematical operations, and edges represent the flow of data. Learn more with tutorials on the [https://www.tensorflow.org/learn official TensorFlow website]. |
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==References== | ==References== | ||
[[Category: Mathematics]] | [[Category: Mathematics]] | ||
Latest revision as of 14:13, 22 October 2024
Full Title or Meme
Matrix Calculations are used to manipulate multidimensional arrays of numbers which might be real or complex.
Context
While mathematicians have described matrix mathematics earlier, the first well-known application was when Werner Heisenberg's Quantum Mechanics was expressed by Max Born and his students in 1927.[1]
Tensor Flow
TensorFlow is a powerful open-source machine-learning framework developed by Google[2] originally for Internet search. It empowers developers to construct and train machine learning models. These models can be used for various applications, including Quantum Mechanics and Artificial Intelligence. TensorFlow is based on Python and is widely used for numerical computation and data flow, making machine learning faster and easier[3]. The name "TensorFlow" comes from the mathematical term "Tensor," which represents multidimensional arrays of data. These tensors flow through a graph-like structure, where nodes represent mathematical operations, and edges represent the flow of data. Learn more with tutorials on the official TensorFlow website.
References
- ↑ Pradeep Kumar, Heisenberg’s Invention of Matrices https://www.ias.ac.in/article/fulltext/reso/022/04/0399-0405
- ↑ What is Tensorflow | TensorFlow Introduction - Javatpoint. https://www.javatpoint.com/tensorflow-introduction
- ↑ What Is TensorFlow? A Brief Guide - HackerRank Blog. https://www.hackerrank.com/blog/what-is-tensorflow-a-brief-guide-to-the-machine-learning-framework/
