Build your model using azure custom vision and deploy it in a webapp

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CodeOps Technologies LLP

Learn how to use Azure custom vision to build and train your model with no lines of code. Use this model in a webapp.

Build your
models with
Azure Cognitive
Services

What is Azure Cognitive Services?
• Cognitive Services bring AI within reach of every developer—
without requiring machine-learning expertise. All it takes is an
API call to embed the ability to see, hear, speak, search,
understand and accelerate decision-making into your apps.

Use the Custom Vision API to analyze
images for content, generate captions,
and more ..

Use the Text
Analytics API
to identify
sentiment
expressed in
text (e.g.,
Twitter feeds)
Language DetectionTopic Detection
Key Phrase ExtractionSentiment Analysis

Demo: Azure cognitive services & Custom
Vision! 😎

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Your computer can recognize your voice and detect words in a speech dictation, but can it truly understand the meaning of what you are saying? Can it analyze your intent and respond accordingly? You don’t need a PhD in artificial intelligence to integrate speech and natural language understanding in your projects. Microsoft Cognitive Services (aka “Project Oxford”) is a portfolio of cloud-based REST APIs and SDKs powered by Machine Learning which enable developers to write applications which understand the content within the rapidly growing set of multimedia data. Cognitive Services API services will help you understand and interact with audio, text, image, and video. In this session, we’ll start with an overview of available services for speech recognition and speech synthesis. Then we’ll explore through live demos how to leverage the Language Understanding Intelligent Service which lets you determine intent, detect entities in user speech and improve language understanding models to more efficiently work with user data. Lastly, we’ll leverage Computer Vision APIs to detect human faces, analyze the content of images, and perform Optical Character Recognition (OCR) to detect and analyze words within a photo. Come learn how your apps can tap into the same active learning services behind the brain of Cortana, and get started writing smart applications that can understand what your users are saying.

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Gracias a los Cognitive Services ahora podemos añadir inteligencia a nuestras apps de una manera sencilla. La combinación de estos servicios abren un mundo nuevo de posibilidades, por lo que durante esta charla veremos una breve introducción a los distintos servicios para pasar directamente a verlos en acción en aplicaciones y situaciones reales. Se trata de una charla introductoria en la que haremos demos y veremos cómo podemos utilizar estos servicios en nuestro código.

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Azure Custom Vision allows you to create powerful image classifiers in minutes to without having to be an AI expert. You feed the service with images -so the service adapts to your own needs-, tag them and train a model that can be published to an endpoint URL for further requests. You can also use the Custom Vision SDK to automatize the process. Furthermore, this model can also be exported for offline, real-time classification experiences. For instance, you can embed the classifier into a mobile application, or a website. In this session, the Custom Vision service will be described. An image classifier will be created by using the .portal. The output model will be exported to both Tensorflow and CoreML to integrate it into an Android and iOS mobile applications, respectively.

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Build your model using azure custom vision and deploy it in a webapp

1. Build your models with Azure Cognitive Services

2. What is Azure Cognitive Services? • Cognitive Services bring AI within reach of every developer— without requiring machine-learning expertise. All it takes is an API call to embed the ability to see, hear, speak, search, understand and accelerate decision-making into your apps.

3. Use the Custom Vision API to analyze images for content, generate captions, and more ..

4. Use the Text Analytics API to identify sentiment expressed in text (e.g., Twitter feeds) Language DetectionTopic Detection Key Phrase ExtractionSentiment Analysis

5. Demo: Azure cognitive services & Custom Vision! 😎