Deep Learning and Neural Networks – Jeff Heaton

  • Series Introduction
  • Example Computer Languages
  • Prerequisite Knowledge
  • Fundamental Algorithms
  • Other Resources
  • Structure of this Book

This book is the third in a series covering select topics in artificial intelligence (AI), a large field of study that encompasses many sub-disciplines. In this introduction, we will provide some background information for readers who might not have read Volume 1 or 2.

It is not necessary to read Volume 1 or 2 before this book. We introduce needed information from both volumes in the following sections.

Related posts:

Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Introduction to the Math of Neural Networks - Jeff Heaton
Medical Image Segmentation Using Artificial Neural Networks
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning with Python - Francois Cholletf
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Learn Keras for Deep Neural Networks - Jojo Moolayil
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Neural Networks - A visual introduction for beginners - Michael Taylor
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
An introduction to neural networks - Kevin Gurney & University of Sheffield
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Neural Networks and Deep Learning - Charu C.Aggarwal
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Java Deep Learning Essentials - Yusuke Sugomori