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Deep Learning: An Overview and Innovative Approach in Machine Learning

Deep Learning: An Overview and Innovative Approach in Machine Learning

Amit Sinha, Suneet Kumar Gupta, Anurag Tiwari, Amrita Chaturvedi
Copyright: © 2019 |Pages: 27
ISBN13: 9781522590965|ISBN10: 152259096X|EISBN13: 9781522590972
DOI: 10.4018/978-1-5225-9096-5.ch007
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MLA

Sinha, Amit, et al. "Deep Learning: An Overview and Innovative Approach in Machine Learning." Hidden Link Prediction in Stochastic Social Networks, edited by Babita Pandey and Aditya Khamparia, IGI Global, 2019, pp. 108-134. https://doi.org/10.4018/978-1-5225-9096-5.ch007

APA

Sinha, A., Gupta, S. K., Tiwari, A., & Chaturvedi, A. (2019). Deep Learning: An Overview and Innovative Approach in Machine Learning. In B. Pandey & A. Khamparia (Eds.), Hidden Link Prediction in Stochastic Social Networks (pp. 108-134). IGI Global. https://doi.org/10.4018/978-1-5225-9096-5.ch007

Chicago

Sinha, Amit, et al. "Deep Learning: An Overview and Innovative Approach in Machine Learning." In Hidden Link Prediction in Stochastic Social Networks, edited by Babita Pandey and Aditya Khamparia, 108-134. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-9096-5.ch007

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Abstract

Deep learning approaches have been found to be suitable for the agricultural field with successful applications to vegetable infection through plant disease. In this chapter, the authors discuss some widely used deep learning architecture and their practical applications. Nowadays, in many typical applications of machine vision, there is a tendency to replace classical techniques with deep learning algorithms. The benefits are valuable; on one hand, it avoids the need of specialized handcrafted features extractors, and on the other hand, results are not damaged. Moreover, they typically get improved.

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