Basic Concepts of Algebra in Deep Learning

Authors

  • T. Pravallika  Lecturer, Department of Mathematics, C.S.S.R & S.R.R.M. Degree and P.G. College, Kamalapuram, Tamil Nadu, India
  • C. V. Raja Gopal Reddy  Principal, C.S.S.R & S.R.R.M. Degree and P.G. College, Kamalapuram, Tamil Nadu, India
  • Dr C. Subbarayudu  Academic Advisor, C.S.S.R & S.R.R.M. Degree and P.G. College, Kamalapuram, Tamil Nadu, India

DOI:

https://doi.org/10.32628/IJSRSET20739

Keywords:

Machine Learning, Algorithms, Numpy, Dimensions, Tensor.

Abstract

Algebra is extremely important for understanding Machine Learning, especially for Deep Learning. They provide you better feeling for a way algorithms really work under the duvet, which enables you to form better decisions. You would wish to be an expert during this field; you can't escape from mastering of its concept. During this topic we'll give the foremost important concept of algebra that are utilized in Deep Learning.

References

  1. Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong “Mathematics for Machine Learning”, Cambridge University Press, 2020, ISBN: 08679935, 978110867993011
  2. Charu C. Aggarwal, “Linear Algebra and Optimization for Machine Learning” Springer International Publishing, 2020, ISBN: 3030403432, 9783030403430
  3. Manuel Grana, Carlos Toro, Robert J. Howlett, Lakhmi C Jain, “Knowledge Engineering, Machine Learning and Lattice Computing with Applications” Springer International Publishing, ISBN: 978-3-642-37342-8

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-06-30

Issue

Volume 7, Issue 3, May-June-2020

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
T. Pravallika, C. V. Raja Gopal Reddy, Dr C. Subbarayudu "Basic Concepts of Algebra in Deep Learning" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 3, pp.21-23, May-June-2020. Available at doi : https://doi.org/10.32628/IJSRSET20739