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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 6 | Month- June 2024
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Published Paper Details:
Paper Title
DEEP NEURAL NETWORKS AND PROCEDURE FOR TRAINING DROPOUT NEURAL NETWORKS
Authors
Punith Kumar, Nabi M, Devaraj Biradar
Keywords
neural networks, regularization, deep learning
Abstract
Deep neural nets with a large number of parameters are very powerful machine learning systems. However, over fitting is a serious problem in such networks. Large networks are also slow to use, making it difficult to deal with over fitting by combining the predictions of many different large neural nets at test time. Dropout is a technique for addressing this problem. The key idea is to randomly drop units (along with their connections) from the neural network during training. This prevents units from co-adapting too much.
IJCRT's Publication Details
Unique Identification Number - IJCRT1802938
Paper ID - 184099
Page Number(s) - 245-250
Pubished in - Volume 6 | Issue 1 | March 2018
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Punith Kumar, Nabi M, Devaraj Biradar, "DEEP NEURAL NETWORKS AND PROCEDURE FOR TRAINING DROPOUT NEURAL NETWORKS ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.245-250, March 2018, Available at :http://www.ijcrt.org/papers/IJCRT1802938.pdf
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Volume 12 | Issue 6
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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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