December 2017
Intermediate to advanced
536 pages
14h 23m
English
Content preview from TensorFlow 1.x Deep Learning Cookbook
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Convolutional Neural Networks
Convolutional Neural Networks (CNNs or sometimes referred to as ConvNets) are fascinating. Over a short period of time, they became a disruptive technology, breaking all the state-of-the-art results in multiple domains from text, to video, to speech--going well beyond their original use for image processing. In this chapter, we will present a number of recipes as follows:
- Creating a ConvNet to classify handwritten MNIST numbers
- Creating a ConvNet to classify CIFAR-10
- Transferring style with VGG19 for image repainting
- Using a pretrained VGG16 net for transfer learning
- Creating a DeepDream network
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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.