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cs356:penn_jenks

Deep Learning With Convolutional Neural Networks

This paper explores general concepts in the field of Deep Learning, as well as the cutting edge Deep Learning technology, specifically the theory and application of Convolutional Neural Networks (CNNs). CNNs are widely used in Deep Learning applications and are on the cutting edge of Artificial Intelligence research and technology.

Here is a link to the paper: https://docs.google.com/document/d/15M9n3ALXCJ-4F5AGQHjTKzStZU8hqoMxVRHUurTFxBE/

Sources:

[1] Arel, Itamar, Derek C. Rose, and Thomas P. Kanowski. “Deep Machine Learning -A New Frontier in Artificial Intelligence Research.” Supervised Sequence Labelling with Recurrent Neural Networks Vol. 385 (2012): n. pag. Web.

[2] Bengio, Yoshua, Ian J. Goodfellow, and Aaron Courville. Deep Learning. N.p.: Unpublished, n.d. Iro.umontreal.ca. Web. 29 Apr. 2015. http://www.iro.umontreal.ca/~bengioy/dlbook/.

[3] Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. “ImageNet Classification with Deep Convolutional Neural Networks.” (2012): n. pag. Web. http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.

[4] Schmidhuber, Jürgen. “Deep Learning In Neural Networks: An Overview.” (2014): n. pag. Web. http://people.idsia.ch/~juergen/deep-learning-overview.html.

cs356/penn_jenks.txt · Last modified: 2015/04/29 03:55 by jenkspt0