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One Look at Deep Learning Algorithms

Authors: Ajay A. Gidd; Ajinkya S. Shewale;

One Look at Deep Learning Algorithms

Abstract

{"references": ["A. A. Gidd, S. A. Molaj and Ajinkya S. Shewale. Role of Artificial Intelligence in Medical Science. Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India.2019:556-560p.doi: 10.1109/I-SMAC47947.2019.9032586 keywords: {artificial intelligence;decisionmaking;medicalcomputing;artificialintelligence;medicalscience;medicalfield;decisionmaking;Conferences;ArtificialIntelligence;MedicalScience;Diagnosis;Robots;Deep Learning},URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9032586&isnumber=9032424--", "https://www.manning.com/books/deep-learning-with-python", "Ajinkya S. Shewale. Key Security Problems-Research Challenges Regarding Cloud Computing. Recent Trends in Androids and IOS Applications. 2020.1(3):1\u20135p. https://doi.org/10.5281/zenodo.3600130", "Ajinkya S. Shewale. System Intrusion Detection and Countermeasure Selection in Virtual Network Systems. Journal of Advancement in Parallel Computing.2020.2(3):1\u20134p. https://doi.org/10.5281/zenodo.3611078", "https://www.edureka.co/blog/backpropagation/", "https://towardsdatascience.com/understanding-generative-adversarial-networks-gans-cd6e4651a29", "https://www.researchgate.net/figure/Deep-learning-model-architecture_fig2_318310594", "https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=21&cad=rja&uact=8&ved=2ahUKEwjykrvC4_noAhXWZCsKHfFuAZ0QFjAUegQICBAB&url=http%3A%2F%2Fdeeplearning.net%2F&usg=AOvVaw1ydE5YZn4X_-wj115KQmmm", "https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=27&cad=rja&uact=8&ved=2ahUKEwjykrvC4_noAhXWZCsKHfFuAZ0QFjAaegQICxAB&url=https%3A%2F%2Fdeveloper.nvidia.com%2Fdeep-learning&usg=AOvVaw3ajdudCnf9Kvy3fF6dyy7J", "https://www.datacamp.com/courses/deep-learning-in-python/?tap_a=5644-dce66f&tap_s=384177-0102f2&utm_source=adwords_ppc&utm_campaignid=1455363063&utm_adgroupid=65083631908&utm_device=c&utm_keyword=&utm_matchtype=b&utm_network=g&utm_adpostion=&utm_creative=278443377113&utm_targetid=aud-299261629574:dsa-498578052884&utm_loc_interest_ms=&utm_loc_physical_ms=1007783&gclid=Cj0KCQjws_r0BRCwARIsAMxfDRiDflB5WREPIwatGnWNv6tZKppSwkCozYSRSrWAHA0rCy0FXrP7b_caAqDzEALw_wcB"]}

Deep learning is a mainly an area of machine learning. The intention of this paper is to give a quick overview of deep learning algorithms. In this paper the author is discussed the most popular deep learning algorithm which are used most frequent in the current scenario. Now a days deep learning has caught special attention because it can solve very complex problem with less computation.

Keywords

Artificial intelligence, deep learning, convolutional neural network , recurrent neural networks, backpropagation, generative adversarial network, restricted boltzmann machine , deep belief network, feedforward neural networks., http://hbrppublication.com/journals.html

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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