An Overview of Gradient Descent Algorithm Optimization in Machine Learning: Application in the Ophthalmology Field-Reference-Cited by-同舟云学术

An Overview of Gradient Descent Algorithm Optimization in Machine Learning: Application in the Ophthalmology Field

Published:2020 Issue: Volume: Page:349-359
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Mustapha Aatila,Mohamed Lachgar,Ali Kartit

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-45183-7_27

Reference13 articles.

1. Parampal, G., Faraz, O., et al.: Deep learning in ophthalmology: a review. Can. J. Ophthalmol. 53(4), 309–313 (2018)

2. Ting, D., Pasquale, L., Peng, L., et al.: Artificial intelligence and deep learning in ophthalmology. Br. J. Ophthalmol. 103(2), 167–175 (2019)

3. Alexandru, L., Popa, V.: KeratoDetect: keratoconus detection algorithm using convolutional neural networks. Hindawi Comput. Intell. Neurosci. 2019, 1–9 (2019)

4. Qaisar, A.: Glaucoma-deep: detection of glaucoma eye disease on retinal fundus images using deep learning. (IJACSA) Int. J. Adv. Comput. Sci. Appl. 8, 41–45 (2017)

5. Simon, S., Jason, D., Haochuan, L., Liwei, W., Xiyu, Z.: Gradient descent finds global minima of deep neural networks. In: 36 th International Conference on Machine Learning, PMLR 1997, Long Beach, California, pp. 1675–1685 (2019)

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