Machine learning dependencies are a hassle, whether ensuring that the right versions are installed on all systems or that versions of dependencies in your projects are still compatible with the version on your cloud-based system when you deploy. But with containers, you can create a clean, virtual environment to set up and train your neural networks in. Then, you can deploy the neural networks at scale with the exact same environment.

Join us in this webinar to understand how to deploy and manage a machine learning app on Red Hat OpenShift

🔥 How to build a Convolutional Neural Network (CNN) that can detect handwritten digits (with Keras and the MNIST dataset)

How to train and deploy a CNN with the Flask web framework and Keras

How to create an app in OpenShift and pull the source code for application from GitHub

All Developers are welcome to attend the webinar!

☁ Register for a free IBM Cloud Account:  https://ibm.biz/BdqNpZ prior to the event to get the most out of our workshop.

☁ Confirm your account using code sent to your email

Train and deploy ML models with containers on Red Hat OpenShift