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Book details
  • Genre:COMPUTERS
  • SubGenre:Artificial Intelligence / General
  • Language:English
  • Series title:Machine Learning: A Beginner's Guide
  • Series Number:2
  • Pages:268
  • eBook ISBN:9798350959086

Artificial Neural Networks

A Beginner's Guide

by Anthony Mauro

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Overview
Artificial Neural Networks - A Beginner's Guide provides a detailed look at the inner workings of deep neural networks, additional classes of neural networks, and optimization techniques through rigorous mathematical analysis and implementation examples in Python. This book is appropriate for those wanting to know the "how and why" behind neural networks and those interested in learning how to implement a fully functional, from-scratch deep neural network framework.
Description
Machine learning, the force behind self-driving cars, intuitive personal assistants, intelligent product recommendations, human-like robots, and the seamless magic of web searches, is not just a subject of academic curiosity; it is the very heartbeat of innovation in our society. It is the engine driving unprecedented progress, redefining industries, and, quite literally, shaping the way we experience the world. Artificial Neural Networks - A Beginner's Guide provides a detailed look at the inner workings of deep neural networks, additional classes of neural networks, and optimization techniques through rigorous mathematical analysis and implementation examples in Python. This book is appropriate for those wanting to know the "how and why" behind neural networks and those interested in learning how to implement a fully functional, from-scratch deep neural network framework.
About the author
Tony Mauro currently teaches Computer Science, Machine Learning, and Digital Electronic Circuit Design at the secondary (high school), community college, and University levels, and founded NexStream Technical Education to provide enrichment opportunities in these areas to students. His formal education is in Electrical Engineering where he completed his BSEE and MSEE degrees from the California Polytechnic University and the University of Southern California. He worked as a hardware, software and systems design engineer for over 20 years where he was awarded over 20 patents. He is also active in computer science and engineering pathways with the California Career Technical Education (CTE) program of study and contributes to the Institute of Electrical and Electronics Engineers (IEEE) to promote the fields to secondary school students.
*Fixed Layout eBook. Will include a file for Apple device and for Kindle devices that support KPF.

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