Difference between revisions of "Matrix Calculation"
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==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 deep learning. TensorFlow is based on Python and is widely used for numerical computation and data flow, making machine learning faster and | + | 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>. It empowers developers to construct and train machine learning models. These models can be used for various applications, including deep learning. 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]] | ||
Revision as of 12:06, 29 June 2024
Full Title or Meme
Matrix Calculations are used to manipulate multidimensional arrays of numbers which might be real or complex.
Tensor Flow
TensorFlow is a powerful open-source machine-learning framework developed by Google[1]. It empowers developers to construct and train machine learning models. These models can be used for various applications, including deep learning. TensorFlow is based on Python and is widely used for numerical computation and data flow, making machine learning faster and easier[2]. 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
- ↑ 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/
