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 (https://twitter.com/jennifermarsman) 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 (https://na01.safelinks.protection.outlook.com/?url=http%3a%2f%2fCaptionBot.ai&data=01%7c01%7csonjak%40microsoft.com%7ccb79f82f3ffb4218cc0308d39ea9e96c%7c72f988bf86f141af91ab2d7cd011db47%7c1&sdata=%2bx4YT05aeoDFozHEbgtw%2fee1AdhcobCiQ3%2f4VpOiBlI%3d) – works for any browser/phoneCall the Microsoft Cognitive Services API https://www.microsoft.com/cognitive-services (https://www.microsoft.com/cognitive-services)Build you own cool deep model on CNTK https://github.com/Microsoft/CNTK (https://github.com/Microsoft/CNTK)* Deep Learninghttp://www.deeplearningbook.org (http://www.deeplearningbook.org)* CNNGeneralization and Network Design Strategies by Lecun, Y., Technical Report CRG-TR-89-4, University of Toronto, 1989* RNNLearning 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 (https://na01.safelinks.protection.outlook.com/?url=http%3a%2f%2fkarpathy.github.io%2f2015%2f05%2f21%2frnn-effectiveness%2f&data=01%7c01%7csonjak%40microsoft.com%7ccb79f82f3ffb4218cc0308d39ea9e96c%7c72f988bf86f141af91ab2d7cd011db47%7c1&sdata=eIKyE6Ycr64T7ZVCNOuxV%2byNB1Gx1ygJ89sEkHZbF7M%3d) by Andrej Karpathy* LSTMLong Short-Term Memory  by Hochreite, S., and Schmidhuber J., Neural Computation 9(8): 1735-1780, 1997Blog: Understanding LSTM Networks (https://na01.safelinks.protection.outlook.com/?url=http%3a%2f%2fcolah.github.io%2fposts%2f2015-08-Understanding-LSTMs%2findex.html&data=01%7c01%7csonjak%40microsoft.com%7ccb79f82f3ffb4218cc0308d39ea9e96c%7c72f988bf86f141af91ab2d7cd011db47%7c1&sdata=3n3V%2bR32MvzOMthxD1lgHsl5leGLAW3jCdcFoJCBOrM%3d) by Christopher Olah__________________________(http://files.channel9.msdn.com/thumbnail/37bcbb7a-08ff-4c7b-8fef-6d3e007e4c0c.jpg)__________________________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 (http://blogs.msdn.com/b/jennifer/)* Learn more about Microsoft Cognitive Services(http://blogs.msdn.com/cfs-file.ashx/__key/communityserver-blogs-components-weblogfiles/00-00-00-60-29-devsdevsdevs/3806.Twitter.png) Follow the conversation @MS_ITPro (https://twitter.com/MS_ITPro)(http://blogs.msdn.com/cfs-file.ashx/__key/communityserver-blogs-components-weblogfiles/00-00-00-60-29-devsdevsdevs/3487.Facebook.png) Become a Fan @ facebook.com/MicrosoftITPro (https://www.facebook.com/MicrosoftItPro)(http://blogs.msdn.com/resized-image.ashx/__size/28x0/__key/communityserver-components-userfiles/00-00-33-52-95-Attached+Files/1512.itunes.png) Subscribe to our podcast via iTunes (http://itunes.apple.com/us/podcast/technet-radio-mp4-channel-9/id546970030), Stitcher (http://stitcher.com/s?fid=26282), or RSS (https://channel9.msdn.com/Shows/TechNet+Radio/feed/mp4) (http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://s.ch9.ms/Blogs/DevRadio/feed/mp4&WT.dl=0&WT.entryid=Entry:RSSView:8dc0c42e5dae4f7885dea63201266076)