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Mastering Predictive Analytics with scikit-learn and TensorFlow

You're reading from   Mastering Predictive Analytics with scikit-learn and TensorFlow Implement machine learning techniques to build advanced predictive models using Python

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789617740
Length 154 pages
Edition 1st Edition
Languages
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Author (1):
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Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
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Toc

Elements of a deep neural network model

The motivation for deep neural networks (DNNs) is similar, and the question here is, instead of using one single hidden layer, what if we use many hidden layers? So in that case, our model will look similar to the following:

Here, we have the same input layer. However, in this case, we will have many hidden layers and the output layer will stay the same. The key thing here is the hidden part of the network, the hidden layers; instead of having just one, we have many hidden layers and this is called a DNN.

Deep learning

Deep learning is a set of machine learning models based on neural networks and the associated techniques to train such models using data. There are many deep learning...

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