Deep Learning—Prediction

Author:

Al Gerges Chris,Vessies Melle B.,van de Leur Rutger R.,van Es René

Publisher

Springer International Publishing

Reference79 articles.

1. Artificial neural network—An overview. ScienceDirect topics. https://www.sciencedirect.com/topics/neuroscience/artificial-neural-network. Accessed 17 Sept 2022.

2. Hecht-Nielsen. Theory of the backpropagation neural network. In: International 1989 joint conference on neural networks, vol 1; 1989. p. 593–605. https://doi.org/10.1109/IJCNN.1989.118638

3. Duchi J, Hazan E, Singer Y. 2011. Adaptive subgradient methods for online learning and stochastic optimization. p. 39.

4. Tieleman T, Hinton G. Lecture 6.5-rmsprop: divide the gradient by a running average of its recent magnitude. In: Presented at the COURSERA: neural networks for machine learning; 2012.

5. Kingma DP, Ba J. Adam: a method for stochastic optimization. 29 Jan 2017. Accessed 04 Oct 2022. Available http://arxiv.org/abs/1412.6980

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