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:

Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Introduction to the Math of Neural Networks - Jeff Heaton
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning with Python - Francois Chollet
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning with Theano - Christopher Bourez
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
The hundred-page Machine Learning Book - Andriy Burkov
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning with Python - Francois Cholletf
Java Deep Learning Essentials - Yusuke Sugomori
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
An introduction to neural networks - Kevin Gurney & University of Sheffield
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Machine Learning with spark and python - Michael Bowles
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning with Hadoop - Dipayan Dev
Learn Keras for Deep Neural Networks - Jojo Moolayil
Pattern recognition and machine learning - Christopher M.Bishop
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden