Learning Path: An introduction to the Model Asset Exchange

Overview

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.

Objectives

Upon completion of this learning path, you will be able to:

• Find and explore deployable and trainable deep learning models on the exchange
• Deploy a model-serving microservice on Docker
• Consume the microservice from a Node.js or Python web application
• Consume the microservice from a Node-RED flow
• Complete the sample code patterns for the Model Asset Exchange

Prerequisite knowledge

Since this learning path is designed for the beginner, no prerequisite knowledge is required to begin.

Skill level

The skill level of this learning path is for a beginner.

Estimated time to complete

It will take you approximately 2.0 hours to complete this entire learning path.

Modules

The following items make up this learning path:

• Article

  Get an introduction to the Model Asset Exchange on IBM Developer

  Learn how MAX is a place for developers to find and use free, open source, state-of-the-art deep learning models for…

• Tutorial

  Get started with the Model Asset Exchange

  Deploy deep learning models as a microservice and consume them in your applications or services.

• Tutorial

  Leverage deep learning in your Node-RED flows

  Process image, video, audio, or text data using deep learning models from the Model Asset Exchange in Node-RED flows.