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You're reading from  Mastering Predictive Analytics with scikit-learn and TensorFlow

Product typeBook
Published inSep 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789617740
Edition1st Edition
Languages
Python
Tools
Scikit-learnTensorFlow
Concepts
Predictive Analytics
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Author (1)
Alvaro Fuentes
Alvaro Fuentes
author image
Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.
Read more about Alvaro Fuentes

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Regression with Deep Neural Networks (DNN)

For regression with DNNs, we first have to import the libraries we will use here. We will import TensorFlow, pandas, NumPy, and matplotlib with the lines of code shown in the following screenshot:

We will use the fully_ connected function from the tensorflow.contrib.layers model.

Elements of the DNN model

Before running the model, we first have to determine the elements that we will use in building a multilayer perceptron model, shown as follows:

  • Architecture: The model contains 23 elements in the input layer, hence we have 25 features in this dataset. We have only one element in the output layer and we will use three hidden layers, although we could use any number of hidden layers...
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Mastering Predictive Analytics with scikit-learn and TensorFlow
Published in: Sep 2018Publisher: PacktISBN-13: 9781789617740
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.
Read more about Alvaro Fuentes

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