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Machine Learning for Developers

You're reading from  Machine Learning for Developers

Product type Book
Published in Oct 2017
Publisher Packt
ISBN-13 9781786469878
Pages 270 pages
Edition 1st Edition
Languages
Authors (2):
Rodolfo Bonnin Rodolfo Bonnin
Profile icon Rodolfo Bonnin
Md Mahmudul Hasan Md Mahmudul Hasan
View More author details

Table of Contents (10) Chapters

Preface Introduction - Machine Learning and Statistical Science The Learning Process Clustering Linear and Logistic Regression Neural Networks Convolutional Neural Networks Recurrent Neural Networks Recent Models and Developments Software Installation and Configuration

Implementing a simple function with a single-layer perceptron

Take a look at the following code snippet to implement a single function with a single-layer perceptron:

    import numpy as np
    import matplotlib.pyplot as plt
    plt.style.use('fivethirtyeight')
    from pprint import pprint
    %matplotlib inline
    from sklearn import datasets
    import matplotlib.pyplot as plt

Defining and graphing transfer function types

The learning properties of a neural network would not be very good with just the help of a univariate linear classifier. Even some mildly complex problems in machine learning involve multiple non-linear variables, so many variants were developed as replacements for the transfer functions of...

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