Have you ever wanted to classify images, recognize faces or places in images, process natural language or text, or create recommendations based on time-series data in one of your applications?

Join IBM Developer's meetup & learn how!

With deep-learning (machine learning using deep neural networks) you can do this, & much more. The Model Asset eXchange (MAX) on IBM Developer is a place where you can find & use free open source deep learning models for text, image, audio, & video processing.

The exchange makes ready-to-use deep learning models available that have been well tested, are free to use & include provenance. The curated list includes deployable models that you can run as a microservice locally or in the cloud on Docker or Kubernetes, & trainable models where you can use your own data to train the models. We will give an overview of MAX, look at the different models available, & finally download a deploy a ML model locally & on IBM Cloud in containers using Docker & Kubernetes.

Speaker Bio:
Patrick Titzler is a Developer Advocate with the Center for Open-Source Data & AI Technologies at IBM. Combining his enterprise application development experience with his interest in data science & artificial intelligence, he now focuses on making it easier for developers to incorporate deep learning into their applications. You can learn more about his latest project, a public exchange for ready-to-use open source model assets, at https://developer.ibm.com/exchanges/models/.