ExLibris header image
SFX Logo
Source:

Deep Learning [0-262-03561-8; 0-262-33737-1] Goodfellow, Ian

yr:2016 pg:Illustrationen -Diagramme

Collapse list of basic services Basic
Sorry, no full text available...
Please use the document delivery service (see below)  
Document delivery
Request document via Library/Bibliothek GO
Citation information
Check Google Book Search GO
Users interested in this article also expressed an interest in the following:
1. Beysolow II, T. Introduction to Deep Learning Using R. 2017. Link to SFX for this item
2. Louridas, P. "Machine Learning." IEEE Software 33.5 (2016): 110-115. Link to Full Text for this item Link to SFX for this item
3. Huang, K. Deep Learning: Fundamentals, Theory and Applications. 2019. Link to SFX for this item
4. LeCun, Y. "Deep learning." Nature 521.7553 (2015): 436-444. Link to Full Text for this item Link to SFX for this item
5. Michelucci. Applied Deep Learning. 2018. Link to SFX for this item
6. Schneider, William F. "Machine Learning." The journal of physical chemistry. B 122.4 (2018): 1347-1347. Link to Full Text for this item Link to SFX for this item
7. Schmidhuber, J. "Deep learning in neural networks: An overview." Neural networks 61.C: 85-117. Link to SFX for this item
8. Wick, C. "Deep Learning." Informatik-Spektrum 40.1 (2016): 1-5. Link to Full Text for this item Link to SFX for this item
9. Rusk, N. "Deep learning." Nature Methods 13.1 (2015): 35-35. Link to SFX for this item
10. Campbell, Corbin M. "Making the mark: Are grades and deep learning related?" Research in higher education 55.5 (2014): 494-507. Link to SFX for this item
11. Mitchell, M. I. M. "Machine learning: Trends, perspectives, and prospects." Science 349.6245 (2015): 255-260. Link to SFX for this item
12. Brynjolfsson, E. "What can machine learning do? Workforce implications." Science 358.6370 (2017): 1530-1534. Link to SFX for this item
13. Lantz, B. Machine Learning with R - Second Edition. 2015. Link to SFX for this item
14. Antun, V. "On instabilities of deep learning in image reconstruction and the potential costs of AI." Proceedings of the National Academy of Sciences of the United States of America. 117.48: 201907377-30095. Link to SFX for this item
15. 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML). 2019. Link to SFX for this item
16. Deng, Li. Deep Learning in Natural Language Processing. Link to SFX for this item
17. Schneider, William F. "Machine Learning." The journal of physical chemistry. A 122.4 (2018): 879-879. Link to Full Text for this item Link to SFX for this item
18. Zumel, N. Practical data science with R. 2014. Link to SFX for this item
19. Dayal, V. An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing. Springer India :, 2015. Link to SFX for this item
20. Ayers, James B. B. Retail supply chain management. 2008. Link to SFX for this item
View More...
View Less...
Select All Clear All

Expand list of advanced services Advanced