November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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15: What is Next?
Congratulations on making it this far. So far, have learned to implement a variety of cutting-edge AI algorithms in TensorFlow and built cool projects on the side. Specifically, we have built projects on reinforcement learning, Bayesian neural networks, capsule networks, and Generative Adversarial Networks (GANs), among others. We have also learned about several modules of TensorFlow, including TensorFlow.js, TensorFlow Lite, and TensorFlow Probability, among others. This surely deserves a pat on the back and a well-earned rest.
Before we go out to play, there are a few more things that we should consider reading about before we are prime-time ready to deploy these cutting edge techniques in production. As we will realize ...
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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.