Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Goodfellow, I, Bengio, Y and Courville, A (2016) Deep learning , MIT press, Cambridge

	Goodfellow, I, Bengio, Y and Courville, A (2016) Deep learning , MIT press

	Goodfellow, I, Bengio, Y and Courville, A (2016) Deep Learning , MIT Press

	Goodfellow, I, Bengio, Y and Courville, A (2016) Deep Learning , MIT

	Goodfellow, I, Bengio, Y, Courville, A and Bengio, Y (2016) Deep learning , MIT press Cambridge

	Goodfellow, I., Bengio, Y. & Courville, A. (2016) Deep Learning , London, England: MIT Press

	Goodfellow, I., Bengio, Y. and Courville, A. (2016) Deep Learning , MIT Press

	Goodfellow, I., Bengio, Y., Courville, A. & Bengio, Y. (2016) Deep learning (Vol 1) , MIT press Cambridge

	Goodfellow, I., Y. Bengio, A. Courville (2016) 6.2.2.3 Softmax Units for Multinoulli Output Distributions , Deep Learning, edited by I. Goodfellow, Y. Bengio, and A. Courville, 180–184. Cambridge: MIT Press

	Goodfellow, I., Yoshua, B. & Aaron, C. (2016) Introduction to Deep Learning , MIT Press. http://www.deeplearningbook.org

	Goodfellow, Ian, Bengio, Yoshua, Courville, Aaron and Bengio, Yoshua (2016) Deep learning , MIT press Cambridge

	Goodfellow, Ian, Yoshua Bengio and Aaron Courville (2016) Deep Learning , Cambridge, MA: MIT Press

	Goodfellow, Ian, Yoshua Bengio, Aaron Courville, and Yoshua Bengio (2016) Deep Learning. , Cambridge, MA: MIT Press

	Goodfellow, Ian, Yoshua Bengio, and Aaron Courville (2016) Deep Learning , Cambridge, MA: MIT Press

	Grover A. and Leskovec J. (2016) Node2vec: scalable feature learning for networks , Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (KDD ‘16), San Francisco, CA, 13–17 August 2016, pp. 855–864. New York: ACM. DOI:10.1145/2939672.2939754

	Guéniat, Florimond, Mathelin, Lionel and Hussaini, M Yousuff (2016) A statistical learning strategy for closed-loop control of fluid flows , Theoretical and Computational Fluid Dynamics, 30(6), pp. 497-510

	Gül, L, Hal?c?, S, Uzun, C and Esengün, M (2016) Understanding the Impact of Mobile Augmented Reality on Co-design Cognition and Co-modelling , Cooperative Design, Visualization, and Engineering, 13th International Conference, CDVE 2016, pp. 362-370

	He K., Zhang X., Ren S. et al. (2016) Deep residual learning for image recognition , IEEE conference on computer vision and pattern recognition (CVPR), Las Vegas, NV, 27–30 June 2016, pp. 770–778. New York: IEEE

	He, K, et al. (2016) Deep residual learning for image recognition , CVPR2016, pp. 770-778

	He, K, Zhang, X and Ren, S (2016) Deep Residual Learning for Image Recognition , 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE

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