Page 96 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications
P. 96
84 Chapter 3 Application, algorithm, tools directly related to deep learning
[9] https://en.wikipedia.org/wiki/Torch_(machine_learning).
[10] https://machinelearningmastery.com/introduction-python-deep-learning-
library-theano/.
[11] H. Ma, F. Mao, G.W. Taylor, Theano-MPI: a theano-based distributed
training framework, in: European Conference on Parallel Processing Euro-
Par 2016: Euro-Par 2016: Parallel Processing Workshops pp 800e813,
@Springer, 2017.
[12] S. Chen, G. Liu, C. Wu, Z. Jiang, J. Chen, Image Classification with Stacked
Restricted Boltzmann Machines and Evolutionary Function Array Classification
Voter, IEEE Congress on Evolutionary Computation (CEC), 2016.
[13] http://deeplearning.net/tutorial/DBN.html.
[14] https://medium.com/datadriveninvestor/deep-learning-deep-belief-
network-dbn-ab715b5b8afc.
[15] https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-
neural-networks-the-eli5-way-3bd2b1164a53.
[16] J. Cao, C. Wu, L. Chen, H. Cui, G. Feng, An improved convolutional neural
network algorithm and its application in multilabel image labeling,
Computational Intelligence and Neuroscience,2019 (2019).
[17] https://machinelearningmastery.com/recurrent-neural-network-algorithms-
for-deep-learning/.
[18] A.L. Caterini, D.E. Chang, Recurrent neural networks, in: Deep Neural
Networks in a Mathematical Framework., Springer International
Publishing., 2018.
[19] https://www.geeksforgeeks.org/deep-learning-introduction-to-long-short-
term-memory/.
[20] http://deeplearning.net/tutorial/rbm.html.
[21] G. Lugano, Virtual assistants and self-driving cars, in: 2017 15th International
Conference on ITS Telecommunications (ITST), IEEE, 2017, pp. 1e5.
[22] https://robots.net/tech-reviews/deep-learning applications/.
[23] Deep learning technology: a vital tool for national development, Int. J. Eng.
Res. Technol. 8 (07) (July 2019). ISSN: 2278-0181 IJERTV8IS070161 (This
work is licensed under a Creative Commons Attribution 4.0 International
License.) Published by, www.ijert.org.
[24] https://www.mygreatlearning.com/blog/top-15-applications-of-deep-
learning/.
[25] A. Way, Quality expectations of machine translation, Translation Quality
Assessment, in: J. Moorkens, S. Castilho, F. Gaspari, S. Doherty (Eds.),
Translation Quality Assessment. Machine Translation: Technologies and
Applications, Springer, 2018, pp. 159e178.
[26] B. Barroca, V. Amaral, D. Buchs, Semantic languages for developing correct
language translations, Softw. Qual. J. vol. 26 (2018) 417e453, https://
doi.org/10.1007/s11219-016-9352-4.
[27] D. Brodi c, A. Amelio, Z.N. Milivojevi c, Language discrimination by texture
analysis of the image corresponding to the text, Neural Comput. Appl. 29
(2018) 151e172 (@ Springer).
[28] https://dzone.com/articles/difference-between-keras-and-tensorflow.
[29] https://meta.wikimedia.org/wiki/File:Typical_cnn.png.
[30] https://commons.wikimedia.org/wiki/File:Recurrent_neural_network_
unfold.svg.
[31] https://en.wikipedia.org/wiki/Long_short-term_memory#/media/File:The_
LSTM_cell.png.
[32] https://www.geeksforgeeks.org/introduction-to-recurrent-neural-network/.