February 2019
Beginner to intermediate
308 pages
7h 42m
English
Content preview from Neural Network Projects with Python
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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.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.
What's Next?
We did it! We have created six different neural network projects, each with their own unique architecture. In this final chapter, let's recap on what we have accomplished. We will also look at some of the recent advancements in neural networks and deep learning that were not covered in previous chapters. Finally, we will peer ahead and see what the future holds for neural networks and AI in general.
Specifically, these are the topics that we'll cover in this chapter:
- A recap of the different neural networks that we used in this book
- A recap of key neural network concepts
- Cutting edge advancements in neural networks
- The limitations of neural networks
- The future of AI and machine learning
- Keeping up with machine learning
- Favorite ...
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