Machine Learning with Minishift
Details
Between ensuring that the right version Python/Pip are installed on your system, and that it doesn't conflict with other Python/Pip versions on your system AND that when you deploy your model to the cloud that the versions of the dependencies you've used in your projects are still compatible with the version on your cloud-based system, it's a wonder that we ever get any time to focus on building and training our neural networks.
Fortunately, there's a way to ensure that all of this is a never a problem again - Containers! (specifically, Minishift )
With containers, we can create a clean, virtual environment to setup and train our neural networks in, and then deploy them at scale with the exact same same environment. No more dependency hell!
• Speakers
Ed Shee - Cloud Developer Advocate - IBM
Sean Tracey - Developer Advocate, AI/ML - IBM
• Agenda
18.30 - 19.00: Registration, Food, Drinks and Networking
19.00 - 19.15: Introduction
19.15 - 21.00: Hands on workshop