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Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence.
Join Jennifer Marsman as she welcomes Sonja Knoll to the show as they take a deep dive into Deep Learning as well as apply some real-world scenarios for you to try out on your own.
Looking for more information? Check out the following links below:
- Deep Learning – give it a try! Try the app http://CaptionBot.ai – works for any browser/phone
Call the Microsoft Cognitive Services API https://www.microsoft.com/cognitive-services
Build you own cool deep model on CNTK https://github.com/Microsoft/CNTK
- Deep Learning
Generalization and Network Design Strategies by Lecun, Y., Technical Report CRG-TR-89-4, University of Toronto, 1989
Learning representations by back-propagating errors by Rumelhart, D., Hinton, G., and Williams, R., Nature 323, 533–536, 1986
- Blog: The Unreasonable Effectiveness of Recurrent Neural Networks by Andrej Karpathy
Long Short-Term Memory by Hochreite, S., and Schmidhuber J., Neural Computation 9(8): 1735-1780, 1997
Blog: Understanding LSTM Networks by Christopher Olah
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