October 2018
Beginner
362 pages
9h 32m
English
Content preview from Hands-On Artificial Intelligence for Beginners
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Technical requirements
While this chapter will contain some materials that are typically part of the job of a DevOps engineer, we'll touch on these tools and topics on a need-to-know basis, and refer to other resources and tools that can help you learn about the topics in more depth. In this chapter, we'll be utilizing the following:
- TensorFlow
- PyTorch
- Docker, a containerization service for deploying our models
- Amazon Web Services or Google Cloud Platform as a cloud provider
- Introductory knowledge of Kubernetes
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.