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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Setup and Introduction to TensorFlow
TensorFlow is an open source software library created by Google that allows you to build and execute data flow graphs for numerical computation. In these graphs, every node represents some computation or function to be executed, and the graph edges connecting up nodes represent the data flowing between them. In TensorFlow, the data is multi-dimensional arrays called Tensors. Tensors flow around the graph, hence the name TensorFlow.
Machine learning (ML) models, such as convolutional neural networks, can be represented with these kinds of graphs, and this is exactly what TensorFlow was originally designed for.
In this chapter, we'll cover the following topics:
- Understanding the TensorFlow way of thinking ...
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