April 2019
Intermediate to advanced
250 pages
6h 34m
English
Content preview from PyTorch Deep Learning Hands-On
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ONNX
The ONNX protocol was built to create interoperability between different frameworks. This helps AI developers and organizations to choose the right framework to develop AI models where they spend most of their time. Once the development and training phases are over, they can migrate the model to any framework of their choice to serve it in production.
Different frameworks could be optimized for different purposes, such as mobile deployment, readability and flexibility, production deployment, and others. Converting the model to different frameworks is sometimes inevitable and manual conversion is time-consuming. This is another use case that ONNX is trying to solve with interoperability.
Let's take any framework example to see where ONNX ...
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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.