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by Patrick Titzler | Updated March 18, 2019 - Published February 4, 2019
Artificial intelligenceData scienceDeep learningMachine learning
The Model Asset Exchange on IBM Developer is a place for developers to find and use free, open source, state-of-the-art deep learning models for common application domains, such as text, image, audio, and video processing. The curated list includes deployable models that you can run as a microservice locally or in the cloud on Docker or Kubernetes, and trainable models where you can use your own data to train the models.
Upon completion of this learning path, you will be able to:
Since this learning path is designed for the beginner, no prerequisite knowledge is required to begin.
The skill level of this learning path is for a beginner.
It will take you approximately 2.5 hours to complete this entire learning path.
The following items make up this learning path:
Learn how MAX is a place for developers to find and use free, open source, state-of-the-art deep learning models for…
Deploy deep learning models as a microservice and consume them in your applications or services.
Deploy model-serving microservices from the Model Asset Exchange on Red Hat OpenShift.
Process image, video, audio, or text data using deep learning models from the Model Asset Exchange in Node-RED flows.
Artificial intelligenceData science+
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