July 2020
Intermediate to advanced
107 pages
2h 28m
English
Content preview from What's New In TensorFlow 2.x?
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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.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.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.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.
Chapter 8. Conclusion
We hope you’ve enjoyed reading this report as much as we enjoyed writing it. We think you’ll agree that TensorFlow 2.x is a major step toward a one-stop shop for all tasks needed to be performed in deep learning.
You’ve learned how eager execution facilitates development of low-level algorithms by making TensorFlow code look like pure Python code. You also know how tf.function and AutoGraph make arbitrary Python code execute on the TensorFlow execution engine. You now understand how tightly Keras is integrated into TensorFlow, with the drawback that execution frameworks other than TensorFlow aren’t supported anymore, but with the advantage that distributed training and all other new TensorFlow functionality are transparently used under the hood when using Keras.
With TensorFlow parallel execution you master the big-data problem easily, because you’ve seen that only a few additional lines of code let your TensorFlow application run on multiple servers, GPUs, and TPUs. TensorBoard is tightly integrated into all the new features, and we hope you’re convinced that TensorBoard is the go-to user interface when it comes to neural network debugging. Finally, all the minor tweaks and improvements covered in Chapter 7 underpin the breadth and depth of changes introduced into TensorFlow 2.x to make it one of the best, if not the best, deep learning frameworks on the planet.
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
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.