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An Investigation of Deep Learning
| Content Provider | Scilit |
|---|---|
| Author | Karthi, S. Kasthurirengan, P. Kalaiyarasi, M. Deepa, D. Sangeetha, M. |
| Copyright Year | 2021 |
| Description | Deep Learning is an overall presentation in exclusive regions similar image processing, pattern recognition, or smooth in cyber security. It covers from the beginning of Neural Networks when associationism demonstrating of the mind is examined, to the models that overwhelm the most recent decade of examination in profound learning like convolutional neural Network, profound conviction organizations, and repetitive neural network. Large numbers of these transformative ways last the greater part a century and have a variety of bearings. For instance, CNN is based on earlier information on natural vision framework; Deep Belief Network is advanced from a compromise of displaying force and calculation intricacy of graphical models and numerous these days models are neural partners of old direct models. Review of DL, that gives how a methodical investigation of recorded and late cutting edge visual, sound, and text handling draws near, analysis of informal communities and preparing of normal language, went with the assistance of Artificial Intelligence (AI) utilizing the philosophy of human NN. Book Name: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9781003038450-6&type=chapterpdf |
| DOI | 10.1201/9781003038450-6 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-07-28 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Integrating Deep Learning Algorithms To Overcome Challenges in Big Data Analytics Deep Learning Profound Investigation Neural Network Displaying Force Direct Models Associationism Demonstrating |
| Content Type | Text |
| Resource Type | Chapter |