Summary: 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/phoneCall the Microsoft Cognitive Services API https://www.microsoft.com/cognitive-servicesBuild you own cool deep model on CNTK https://github.com/Microsoft/CNTKDeep Learninghttp://www.deeplearningbook.orgCNNGeneralization and Network Design Strategies by Lecun, Y., Technical Report CRG-TR-89-4, University of Toronto, 1989RNNLearning representations by back-propagating errors by Rumelhart, D., Hinton, G., and Williams, R., Nature 323, 533–536, 1986Blog: The Unreasonable Effectiveness of Recurrent Neural Networks by Andrej KarpathyLSTMLong Short-Term Memory by Hochreite, S., and Schmidhuber J., Neural Computation 9(8): 1735-1780, 1997Blog: Understanding LSTM Networks by Christopher Olah__________________________ __________________________ 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 BlogLearn more about Microsoft Cognitive Services Follow the conversation @MS_ITPro Become a Fan @ facebook.com/MicrosoftITPro Subscribe to our podcast via iTunes, Stitcher, or RSS
