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Erschienen in:
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2020 | OriginalPaper | Buchkapitel

Performance Analysis on the Basis of Learning Rate

verfasst von : Vidushi, Manisha Agarwal

Erschienen in: Innovations in Computer Science and Engineering

Verlag: Springer Singapore

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Abstract

In this research paper, a detailed analysis is done on effect of learning rate on machine. Subtle changes in learning rate can bring great impact and can simplify complex research methodologies to a great extent. Our main focus will be on trade-off between learning rate and convergence rate toward an optimal solution. In range of this research, it will be made sure that local optimal solution will not be skipped and the most optimal global solution will be achieved. Keeping all other factors like number of iterations, dataset and algorithm static, we would be verifying our results using experimental analysis done with the help of graphical and statistical observations.

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Vorheriges Kapitel Smart Device Challenges and Security Channels
Nächstes Kapitel Cryptocurrency Price Prediction Based on Historical Data and Social Media Sentiment Analysis
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Metadaten
Titel
Performance Analysis on the Basis of Learning Rate
verfasst von
Vidushi
Manisha Agarwal
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Innovations in Computer Science and Engineering

Print ISBN: 978-981-15-2042-6

Electronic ISBN: 978-981-15-2043-3

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-15-2043-3_6