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Hands-On Deep Learning for Images with TensorFlow

You're reading from   Hands-On Deep Learning for Images with TensorFlow Build intelligent computer vision applications using TensorFlow and Keras

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781789538670
Length 96 pages
Edition 1st Edition
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Author (1):
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Will Ballard Will Ballard
Author Profile Icon Will Ballard
Will Ballard
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Comparison between classical dense neural networks

In this section, we'll be looking at the actual structure of a classical or dense neural network. We'll start off with a sample neural network structure, and then we'll expand that to build a visualization of the network that you would need in order to understand the MNIST digits. Then, finally, we'll learn how the tensor data is actually inserted into a network.

Let's start by looking at the structure of a dense neural network. Using the network package, we will draw a picture of a neural network. The following screenshot shows the three layers that we are setting up—an input layer, an activation layer, and then an output layer—and fully connecting them:

Neural network with three layers

That's what these two loops in the middle are doing. They are putting an edge between every input...

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