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- 2022
- Vol. 3 Issue 4
- Article
Deep Learning- An Integral Part of Machine Learning
Authors
Computer Science, BRCM College of Engg & Technology, Bhiwani, Haryana ,India.
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 4 (2022)
- Published Online
- July-August 2022
- Pages
- 140-142
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
[1] D. Bouchaffra, F. ykhef in “mathematical model for machine learning and pattern recognition”.
[2] ItamarArel, Derek C. Rose and Thomas P Karnowski in” Deep Learning – A New Frontier in Artificial Intelligence Research”.
[3] Alexander J. Stimpson and Mary L. Cummings in “Accessing Intervention Timing in Computer-Based Education using Machine Learning
Algorithms”.
[4] Li Deng, Geoffrey Hinton and Brian Kingsbury Microsoft Research, Redmond, WA, USA in “New Types of Deep Learning for Speech
Recognition and Related Applications: An overview”. [5] Maryam M Najafabadi, Flavio Villanustre, Taghi M Khoshgoftaar, NaeemSeliya
Wald and EdinMuharemagic in “journal of big data”.
[6] Deep learning by Nando de Freitas.
[7] An Introduction to Machine Learning Theory And Its Applications: A Visual Tutorial with Examples by Nick Mccrea.
[8] A Deep Learning Tutorial: From Perceptrons To Deep Networks.
[2] ItamarArel, Derek C. Rose and Thomas P Karnowski in” Deep Learning – A New Frontier in Artificial Intelligence Research”.
[3] Alexander J. Stimpson and Mary L. Cummings in “Accessing Intervention Timing in Computer-Based Education using Machine Learning
Algorithms”.
[4] Li Deng, Geoffrey Hinton and Brian Kingsbury Microsoft Research, Redmond, WA, USA in “New Types of Deep Learning for Speech
Recognition and Related Applications: An overview”. [5] Maryam M Najafabadi, Flavio Villanustre, Taghi M Khoshgoftaar, NaeemSeliya
Wald and EdinMuharemagic in “journal of big data”.
[6] Deep learning by Nando de Freitas.
[7] An Introduction to Machine Learning Theory And Its Applications: A Visual Tutorial with Examples by Nick Mccrea.
[8] A Deep Learning Tutorial: From Perceptrons To Deep Networks.
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