May 2020
Beginner to intermediate
430 pages
10h 39m
English
Content preview from Mastering Computer Vision with TensorFlow 2.x
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Section 2: Advanced Concepts of Computer Vision with TensorFlow
In this section, you will build on the knowledge learned in the last section to perform complex computer vision tasks such as visual search, object detection, and neural style transfer. You will solidify your understanding of neural networks and perform many hands-on coding exercises using TensorFlow.
By the end of this section, you will be able to do the following:
- Develop a fundamental understanding of various neural network models, including AlexNet, VGG, ResNet, Inception, Region-specific CNN (RCNN), Generative adversarial networks (GANs), reinforcement learning, and transfer learning (chapter 5)
- Learn techniques used by some of the famous models for image recognition and ...
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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.