August 2018
Intermediate to advanced
272 pages
7h 2m
English
book
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
Content preview from Hands-On Convolutional Neural Networks with TensorFlow
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Summary
In this chapter, we have explained how programming with TensorFlow works and how to set up your work environment for working with TensorFlow. We have also looked at how to build, train, and evaluate your own linear model using TensorFlow for classifying iris flowers. In doing so, we briefly looked at loss functions and gradient descent optimizers.
In the next chapter, we will learn more about some key deep-learning concepts, including convolutional neural networks. We'll also look at how to use TensorFlow to build and train deep neural networks.
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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.