Neural Networks – A visual introduction for beginners – Michael Taylor

Thi s book is designed as a visual introducti on to neural networks. It is for BEGINNERS and those who have minimal knowledge of the topic. If you al ready have a general understanding, you might not get much out of this book. You don’t need to read front to back. Skip around to what you find the most helpful or is perking your interest. We’ve included lots of links throughout the book to make this easy. Just click on them. We slowly layer in new terminology and concepts each chapter. This means that i f you jump to chapter 4 without having read chapter 3, you might come across terminology that you do not understand. Be aware of this, and remember: you can always jump back to clarify a topic or concept.

Related posts:

Introduction to Deep Learning - Eugene Charniak
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning with Python - Francois Chollet
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning with Theano - Christopher Bourez
Intelligent Projects Using Python - Santanu Pattanayak
Python Machine Learning - Sebastian Raschka
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Pro Deep Learning with TensorFlow - Santunu Pattanayak
An introduction to neural networks - Kevin Gurney & University of Sheffield
Artificial Intelligence by example - Denis Rothman
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning and Neural Networks - Jeff Heaton
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Learn Keras for Deep Neural Networks - Jojo Moolayil
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Data Science and Big Data Analytics - EMC Education Services
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Machine Learning with spark and python - Michael Bowles
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning in Python - LazyProgrammer
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland