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:

Python Machine Learning Eqution Reference - Sebastian Raschka
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Deep Learning in Python - LazyProgrammer
Introduction to the Math of Neural Networks - Jeff Heaton
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Data Science and Big Data Analytics - EMC Education Services
Java Deep Learning Essentials - Yusuke Sugomori
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Neural Networks - A visual introduction for beginners - Michael Taylor
Machine Learning with spark and python - Michael Bowles
Pattern recognition and machine learning - Christopher M.Bishop
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Neural Networks and Deep Learning - Charu C.Aggarwal
The hundred-page Machine Learning Book - Andriy Burkov
Artificial Intelligence by example - Denis Rothman
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python Machine Learning - Sebastian Raschka
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Pro Deep Learning with TensorFlow - Santunu Pattanayak
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Machine Learning with Python for everyone - Mark E.Fenner
Deep Learning with PyTorch - Vishnu Subramanian
Amazon Machine Learning Developer Guild Version Latest
Introduction to Scientific Programming with Python - Joakim Sundnes
Medical Image Segmentation Using Artificial Neural Networks
Python Data Structures and Algorithms - Benjamin Baka