Downloaded 216 times
![Updated Computer Vision API
Content of Image:
Categories v0: [{ “name”: “animal”, “score”: 0.9765625 }]
V1: [{ "name": "grass", "confidence": 0.9999992847442627 },
{ "name": "outdoor", "confidence": 0.9999072551727295 },
{ "name": "cow", "confidence": 0.99954754114151 },
{ "name": "field", "confidence": 0.9976195693016052 },
{ "name": "brown", "confidence": 0.988935649394989 },
{ "name": "animal", "confidence": 0.97904372215271 },
{ "name": "standing", "confidence": 0.9632768630981445 },
{ "name": "mammal", "confidence": 0.9366017580032349,
"hint": "animal" },
{ "name": "wire", "confidence": 0.8946959376335144 },
{ "name": "green", "confidence": 0.8844101428985596 },
{ "name": "pasture", "confidence": 0.8332059383392334 },
{ "name": "bovine", "confidence": 0.5618471503257751,
"hint": "animal" },
{ "name": "grassy", "confidence": 0.48627158999443054 },
{ "name": "lush", "confidence": 0.1874018907546997 },
{ "name": "staring", "confidence": 0.165890634059906 }]
Describe
0.975 "a brown cow standing on top of a lush green field“
0.974 “a cow standing on top of a lush green field”
0.965 “a large brown cow standing on top of a lush green field”](https://image.slidesharecdn.com/activenick-mscognitiveservices-speechnlpvision-160816135737/85/Cognitive-Services-Building-Smart-Apps-with-Speech-NLP-Vision-12-320.jpg)
![{
“entities”: [
{
“entity”: “flight_delays”,
“type”: “Topic”
}
],
“intents”: [
{
“intent”: “FindNews”,
“score”: 0.99853384
},
{
“intent”: “None”,
“score”: 0.07289317
},
{
“intent”: “ReadNews”,
“score”: 0.0167122427
},
{
“intent”: “ShareNews”,
“score”: 1.0919299E-06
}
]
}
“News about
flight delays”
Language Understanding Models](https://image.slidesharecdn.com/activenick-mscognitiveservices-speechnlpvision-160816135737/85/Cognitive-Services-Building-Smart-Apps-with-Speech-NLP-Vision-17-320.jpg)
Uploaded byNick Landry
Cognitive Services: Building Smart Apps with Speech, NLP & Vision
The document provides an overview of Microsoft's Cognitive Services, highlighting various APIs for speech, natural language processing, and vision that enable developers to enhance applications with intelligent capabilities. It includes information on features such as language understanding, computer vision, and sentiment analysis, along with resources for getting started, examples, and community support. Additionally, it emphasizes the availability of training for developers to build applications using these technologies.
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Similar to Cognitive Services: Building Smart Apps with Speech, NLP & Vision
Cognitive Services: Building Smart Apps with Speech, NLP & Vision
- 1. Nick Landry Senior TechnicalEvangelist – Microsoft nick.landry@microsoft.com Blog: AgeofMobility.com @ActiveNick | github.com/ActiveNick Microsoft Cognitive Services: Building Smart Applications with Speech, NLP & Vision
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- 4. Microsoft Cognitive Services Give your apps ahuman side Cognitive Services API Collection
- 6. Bringing it alltogether The Seeing AI App Computer Vision, Image, Speech Recognition, NLP, and ML from Microsoft Cognitive Services Watch Video HereRead Blog Here
- 7. Emotion Speaker Recognition Speech Custom Recognition Computer Vision Face Video microsoft.com/cognitive Linguistic Analysis Language Understanding BingSpell Check Entity Linking Knowledge Exploration Academic Knowledge Bing Image Search Bing Video Search Bing Web Search WebLM Text Analytics Recommendations Bing Autosuggest Bing News Search Translator
- 8. Emotion Speaker Recognition Speech Custom Recognition Computer Vision Face Video microsoft.com/cognitive Linguistic Analysis Language Understanding BingSpell Check Entity Linking Knowledge Exploration Academic Knowledge Bing Image Search Bing Video Search Bing Web Search WebLM Text Analytics Recommendations Bing Autosuggest Bing News Search Translator
- 10. Computer Vision API Distillactionable information from images Video API Analyze, edit, and process videos within your app Face API Detect, identify, analyze, organize, and tag faces in photos Emotion API Personalize experiences with emotion recognition Vision
- 12. Updated Computer VisionAPI Content of Image: Categories v0: [{ “name”: “animal”, “score”: 0.9765625 }] V1: [{ "name": "grass", "confidence": 0.9999992847442627 }, { "name": "outdoor", "confidence": 0.9999072551727295 }, { "name": "cow", "confidence": 0.99954754114151 }, { "name": "field", "confidence": 0.9976195693016052 }, { "name": "brown", "confidence": 0.988935649394989 }, { "name": "animal", "confidence": 0.97904372215271 }, { "name": "standing", "confidence": 0.9632768630981445 }, { "name": "mammal", "confidence": 0.9366017580032349, "hint": "animal" }, { "name": "wire", "confidence": 0.8946959376335144 }, { "name": "green", "confidence": 0.8844101428985596 }, { "name": "pasture", "confidence": 0.8332059383392334 }, { "name": "bovine", "confidence": 0.5618471503257751, "hint": "animal" }, { "name": "grassy", "confidence": 0.48627158999443054 }, { "name": "lush", "confidence": 0.1874018907546997 }, { "name": "staring", "confidence": 0.165890634059906 }] Describe 0.975 "a brown cow standing on top of a lush green field“ 0.974 “a cow standing on top of a lush green field” 0.965 “a large brown cow standing on top of a lush green field”
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- 15. Speech Bing Spell Check API Detectand correct spelling mistakes within your app Language Understanding Intelligent Service Teach your apps to understand commands from your users Web Language Model API Leverage the power of language models trained on web-scale data Linguistic Analysis API Easily parse complex text with language analysis Text Analytics API Detect sentiment, key phrases, topics, and language from your text Language
- 16. Reduce labeling effortwith interactive featuring Seamless integration to Speech API Deploy using just a few examples with active learning Supports 5 languages (English, Chinese, Italian, French, Spanish) Language Understanding Models
- 17. { “entities”: [ { “entity”: “flight_delays”, “type”:“Topic” } ], “intents”: [ { “intent”: “FindNews”, “score”: 0.99853384 }, { “intent”: “None”, “score”: 0.07289317 }, { “intent”: “ReadNews”, “score”: 0.0167122427 }, { “intent”: “ShareNews”, “score”: 1.0919299E-06 } ] } “News about flight delays” Language Understanding Models
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- 27. Developer Resources Preview Pricing https://www.microsoft.com/cognitive-services/en-us/pricing Documentation https://www.microsoft.com/cognitive-services/en-us/computer-vision-api/documentation Client SDKs https://github.com/Microsoft/ProjectOxford-ClientSDK https://github.com/felixrieseberg/project-oxford(nodejs) https://github.com/southwood/project-oxford-python Example Code https://github.com/jsturtevant/happy-image-tester-django https://github.com/jsturtevant/happy-image-tester-nodejs Join Our Community https://stackoverflow.com/questions/tagged/microsoft-cognitive https://social.msdn.microsoft.com/forums/azure/en-US/home?forum=mlapi https://cognitive.uservoice.com/
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- 33. Online Microsoft trainingdelivered by experts to help technologists continually learn Hundreds of courses for developers, IT Pros, students, entrepreneurs and enthusiasts 11 different languages 3M+ students registered Build your own Learning Plan All free! http://mva.microsoft.com
- 34. • Universal WindowsApp Development with Cortana and the Speech SDK • Available for on-demand viewing now: http://aka.ms/CortanaMVA
- 35. • Channel 9Show • Visual Studio Toolbox with Robert Green • New Voice Commands • Integration with Cortana’s canvas • Background Voice Commands • Continuous dictation • Poutine in Montreal! https://channel9.msdn.com/Shows/Visual-Studio-Toolbox/App-Development-with-Cortana More Cortana Dev on Windows 10
- 36. Thank You! Slides arein SlideShare. Demos are on GitHub. Contact me and let me know what you build, I will be happy to help promote your apps. Blog: AgeofMobility.com Twitter: @ActiveNick Email: nick.landry@microsoft.com Apps: www.bigbaldapps.com LinkedIn: linkedin.com/in/activenick GitHub: github.com/ActiveNick Slideshare: slideshare.net/ActiveNick