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Deploy and consume a deep learning platform on Kubernetes, offering TensorFlow, Caffe, PyTorch etc. as a service.
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With Core ML, developers can integrate a trained machine learning model into an application. Watson Visual Recognition now supports exporting trained Core ML models. This code pattern shows you how to create a Core ML model using Watson Visual Recognition, which is then bundled into an application.
Learn how to use the Watson Salesforce SDK to make calls to Watson Visual Recognition, Watson Discovery, and Watson Tone Analyzer APIs.
In this code pattern, we demonstrate how to utilize IBM Cloud Functions with OAuth 2 to enable the authentication and authorization in a web app.
Use Mongoose, an Object Data Modeling library, to connect to your MongoDB, manage data relationships, and provides schema validation for MongoDB objects.
Learn how to begin the process of building a Hyperledger blockchain application using the Hyperledger Fabric SDK API.
Create a multilingual conference room using Watson Text to Speech. OpenWhisk actions and a MQTT messaging broker are also used in this scenario.
Use this code pattern as a beginning guide to run through various machine learning classifiers and compare the outputs with evaluating measures.
Use IBM's Data Science Experience to build a predictive model with Watson Machine Learning.
Demonstrate how to detect real-time trending topics on popular websites by collecting data on user visits.
Akka Cluster is a fault-tolerant peer-to-peer cluster membership service. Kubernetes provides multiple features that are a great fit for running applications built with Akka Cluster. Learn how to configure your Akka Cluster application to run on top of Kubernetes, taking advantage of its many standard features.
Learn how to use serverless technology to build a podcast downloader while gaining an introduction to serverless processes and programming.
Walk through a working example of a web application that queries and manipulates data from the Watson Discovery Service. This web app contains multiple UI components that you can use as a starting point for developing your own Watson Discovery Service applications.
Use Akka, React, and IBM Cloudant to deploy soccer league dashboard app on IBM Cloud.
Build a stress-testing app for investment portfolios that includes integration with natural language generation to produce detailed portfolio analysis.
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