Final presentation Image Recognition.

 Warnings: There are some attempts at humor here. ---- # Augmented Reality / Image Recognition  ---- # Moodstocks [](https://moodstocks.com/) ---- ## Augmented Reality / Image Recognition [](http://colah.github.io/posts/2015-08-Understanding-LSTMs/) - Image caption - Secuence classfication - Translation - Named entity recognition _ ==== [](http://www.slideshare.net/holbertonschool/deep-learning-keynote-1-by-louis-monier) - Bluemix IBM - Moodstocks - Vuforia - Wikitude - Wazzat Labs _ ==== ---- # Demo Bluemix IBM! [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== # Flow of the service [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== # Use cases - **Manufacturing:** Use images from a manufacturing setting to make sure products are being positioned correctly on an assembly line - **Visual Auditing:** Look for visual compliance or deterioration in a fleet of trucks, planes, or windmills out in the field, train custom classifiers to understand what defects look like - **Insurance:** Rapidly process claims by using images to classify claims into different categories. - **Social listening:** Use images from your product line or your logo to track buzz about your company on social media - **Social commerce:** Use an image of a plated dish to find out which restaurant serves it and find reviews, use a travel photo to find vacation suggestions based on similar experiences, use a house image to find similar homes that are for sale - **Retail:** Take a photo of a favorite outfit to find stores with those clothes in stock or on sale, use a travel image to find retail suggestions in that area - **Education:** Create image-based applications to educate about taxonomies, use pictures to find educational material on similar subjects _ ==== # Demo Bluemix IBM [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== # Demo Bluemix IBM [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== # Demo Bluemix IBM [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== # Demo Bluemix IBM !!!!! [](http://oems-vis-rec-demo.mybluemix.net/) ---- # IBM Watson Services - AlchemyLanguage - AlchemyVision - AlchemyData News - Authorization - Concept Insights [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== # IBM Watson Services - Conversation - Dialog - Document Conversion - Language Translator - Natural Language Classifier [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== # IBM Watson Services - Personality Insights - Relationship Extraction - Retrieve and Rank - Speech to Text - Text to Speech [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== # IBM Watson Services - Tone Analyzer - Tradeoff Analytics - Visual Insights - Visual Recognition [](http://oems-vis-rec-demo.mybluemix.net/) ---- ### [ConvNetJS](http://cs.stanford.edu/people/karpathy/convnetjs/) Deep Q Learning Demo This demo follows the description of the Deep Q Learning algorithm described in [Playing Atari with Deep Reinforcement Learning](http://arxiv.org/pdf/1312.5602v1.pdf), a paper from NIPS 2013 Deep Learning Workshop from DeepMind. The paper is a nice demo of a fairly standard (model-free) Reinforcement Learning algorithm (Q Learning) learning to play Atari games. _ ==== <iframe frameborder=0 width="900" height="700" marginheight=0 marginwidth=0 scrolling="auto" src="http://www.pepitosoft.com/demos/rldemo/index.html"></iframe> ---- ## Useful, Reference and Future links - [BlueMix](https://www.google.com.co/aclk?sa=L&ai=DChcSEwiDvJ715rDQAhVXG4EKHXicAzgYABAA&sig=AOD64_2dC71QClj6e8QGg02JsbBbGDHEsQ&q=&ved=0ahUKEwi695j15rDQAhUF5SYKHbP8BP4Q0QwIFw&adurl=) - [Chromium](https://chromium.googlesource.com/chromium/src.git/+/master/components/neterror/resources/offline.js) - [opencv](http://docs.opencv.org/2.4/doc/tutorials/introduction/display_image/display_image.html) - [robotjs](https://github.com/octalmage/robotjs) - [IAMDinosaur](https://github.com/ivanseidel/IAMDinosaur) - [synaptic](http://caza.la/synaptic/#/) [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== ## Useful, Reference and Future links - [Code Google.](https://code.google.com/p/chromium/codesearch#chromium/src/components/neterror/resources/offline.js&q=offline.js&sq=package:chromium&type=cs) - [wikitude](http://www.wikitude.com/blog-migrating-moodstocks-heres-keep-app-online/) - [moodstocks](https://moodstocks.com/) - [tngan](https://github.com/tngan) - [T-Rex](https://github.com/amaneureka/T-Rex/) [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== ## Useful, Reference and Future links - [convnetjs](http://cs.stanford.edu/people/karpathy/convnetjs/) - [THE MNIST DATABASE](http://yann.lecun.com/exdb/mnist/) - [Neural Networks in Javascript](http://blog.webkid.io/neural-networks-in-javascript/) - [Top Machine Learning Libraries for Javascript](http://www.kdnuggets.com/2016/06/top-machine-learning-libraries-javascript.html) [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== ## Useful, Reference and Future links - [Playing Atari with Deep Reinforcement Learning](https://arxiv.org/pdf/1312.5602v1.pdf) - [Understanding LSTM Networks](http://colah.github.io/posts/2015-08-Understanding-LSTMs/) - [5 Machine Learning Projects You Can No Longer Overlook](http://www.kdnuggets.com/2016/05/five-machine-learning-projects-cant-overlook.html) - [Top 10 Machine Learning Projects on Github](http://www.kdnuggets.com/2015/12/top-10-machine-learning-github.html/2) [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== ## Useful, Reference and Future links - [Lian Li: Machine Learning with Node.js - JSUnconf 2016](https://www.youtube.com/watch?v=M5glN6XjDv8) - [Machine learning is not the future - Google I/O 2016](https://www.youtube.com/watch?v=3dXQxSI3XDY) - [Machine Learning Tutorial for JavaScript Hackers: Tips On Gathering and Pre-Processing Data](https://www.youtube.com/watch?v=5AGM7grR680) - [ConvNetJS – Deep Learning in your browser](https://www.youtube.com/watch?v=nAHcrz5hxc4) [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== ## Useful, Reference and Future links - [Deep Learning Frameworks Compared](https://www.youtube.com/watch?v=MDP9FfsNx60) - [7.1 Recurrent Neural Networks RNN](https://www.youtube.com/watch?v=kMLl-TKaEnc) - []() - []() [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== ## Useful, Reference and Future links - [IBM Watson: Using the Visual Recognition service ](https://www.youtube.com/watch?v=FYZld6SSCnY) - [Neural Networks in JavaScript](http://www.antoniodeluca.info/blog/10-08-2016/neural-networks-in-javascript.html) - [Introduction to Artificial Neural Networks](http://www.theprojectspot.com/tutorial-post/introduction-to-artificial-neural-networks-part-1/7) - [A 'Brief' History of Neural Nets and Deep Learning](http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning/) [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== ## Useful, Reference and Future links - [Synaptic - Advanced Neural Nets In JavaScript](http://www.i-programmer.info/news/105-artificial-intelligence/7890-synaptic-advanced-neural-nets-in-javascript.html) - []() - []() - []() [](http://oems-vis-rec-demo.mybluemix.net/) _ ==== ## Useful, Reference and Future links - []() - []() - []() - []() [](http://oems-vis-rec-demo.mybluemix.net/)