Sample Application how to use TensorFlow in OpenWhisk

TensorFlow provides predefined models that can be retrained to recognize certain objects in images. OpenWhisk is a serverless platform that executes functions in the cloud. With Kubernetes you can run heavy workloads in the cloud, for example the training of new TensorFlow models. Check out our open source sample that shows how to use these technologies together to recognize certain types of flowers. (more…)
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Deploying the TensorFlow Inception Model on the IBM Cloud

As a developer I'm trying to better understand how developers work together with data scientists to build applications that leverage machine learning. In this context one key question is how developers can access models from their applications. Below is a quick introduction to TensorFlow Serving and a description how to deploy TensorFlow models onto the IBM Cloud. (more…)
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Pictures from W-JAX 2017

This week I attended W-JAX in Munich, Germany, which is a developer conference with 1400 attendees with a focus on Java and enterprise technologies. My colleagues and I presented and demonstrated the IBM Cloud and the IBM Code developer site. Below are some pictures. (more…)
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Using regular Expressions for Entities in Conversations

In conversational experiences entities are used to identify classes of objects in user phrases, for example 'city' or 'person'. Watson Conversation supports entity definitions with predefined lists of potential values and synonyms. Recently a new capability has been added so that you can also use regular expressions to identify entities (beta). (more…)
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