How to Apply Deep Learning to Real-World Problems

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
  http://www.deeplearningbook.org
• CNN
  Generalization and Network Design Strategies by Lecun, Y., Technical Report CRG-TR-89-4, University of Toronto, 1989
• RNN
  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
• LSTM
  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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If you're interested in learning more about the products or solutions discussed in this episode, click on any of the below links for free, in-depth information:

Websites & Blogs:

• Jennifer Marsman’s Blog
• Learn more about Microsoft Cognitive Services

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