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Artificial Intelligence with Python

You're reading from   Artificial Intelligence with Python Your complete guide to building intelligent apps using Python 3.x

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781839219535
Length 618 pages
Edition 2nd Edition
Languages
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Authors (2):
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Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
Alberto Artasanchez Alberto Artasanchez
Author Profile Icon Alberto Artasanchez
Alberto Artasanchez
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Toc

Table of Contents (26) Chapters Close

Preface 1. Introduction to Artificial Intelligence 2. Fundamental Use Cases for Artificial Intelligence FREE CHAPTER 3. Machine Learning Pipelines 4. Feature Selection and Feature Engineering 5. Classification and Regression Using Supervised Learning 6. Predictive Analytics with Ensemble Learning 7. Detecting Patterns with Unsupervised Learning 8. Building Recommender Systems 9. Logic Programming 10. Heuristic Search Techniques 11. Genetic Algorithms and Genetic Programming 12. Artificial Intelligence on the Cloud 13. Building Games with Artificial Intelligence 14. Building a Speech Recognizer 15. Natural Language Processing 16. Chatbots 17. Sequential Data and Time Series Analysis 18. Image Recognition 19. Neural Networks 20. Deep Learning with Convolutional Neural Networks 21. Recurrent Neural Networks and Other Deep Learning Models 22. Creating Intelligent Agents with Reinforcement Learning 23. Artificial Intelligence and Big Data 24. Other Books You May Enjoy
25. Index

Building a Perceptron-based classifier

Neurons, dendrites, and axons comprise the building blocks of the brain. Similarly, perceptrons are the most basic structure in a neural network.

The evolution of the neural networks has gone through many changes. Their development is grounded on the neurological work performed by Santiago Ramon y Cajal and Sir Charles Scott Sherrington. Ramon y Cajal was a pioneer in the exploration of the structure of nervous tissue and demonstrated that:

  • Neurons can communicate with each other
  • Neurons are physically separate from other neurons

Leveraging the research of Ramon y Cajal and Sherrington, Warren McCulloch and Walter Pitts in their 1943 paper, A Logical Calculus of Ideas Immanent in Nervous Activity, described an architecture borrowing from the structure of neurons having a binary threshold activation function analogous to first order logic sentences.

The following is a basic representation of McCulloch and...

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