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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
OPTIMISING NEURAL NETOWORK USING MORPHNET
Authors
Twinkle Charles, Dr. Anjana S Chandran
Keywords
Morphnet, Neural Networks, Python, TensorFlow, NumPy
Abstract
Deep learning is a statistical learning made by the means of many layered artificial networks, also called deep neural networks. Artificial neural networks are essentially are graphs having their basic computational units (nodes or neurons) grouped in sets usually called layers. In order to get a functional neural network, we need to have an input layer and an output layer, and one or more intermediate hidden layers.
IJCRT's Publication Details
Unique Identification Number - IJCRT2004222
Paper ID - 193486
Page Number(s) - 1665-1668
Pubished in - Volume 8 | Issue 4 | April 2020
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Twinkle Charles, Dr. Anjana S Chandran, "OPTIMISING NEURAL NETOWORK USING MORPHNET", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 4, pp.1665-1668, April 2020, Available at :http://www.ijcrt.org/papers/IJCRT2004222.pdf
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Volume 12 | Issue 7
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Volume 12 | Issue 7
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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