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:

Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Machine Learning - Sebastian Raschka
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
R Deep Learning Essentials - Dr. Joshua F.Wiley
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning with Hadoop - Dipayan Dev
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Fundamentals of Deep Learning - Nikhil Bubuma
Machine Learning with Python for everyone - Mark E.Fenner
Neural Networks and Deep Learning - Charu C.Aggarwal
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Learn Keras for Deep Neural Networks - Jojo Moolayil
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Medical Image Segmentation Using Artificial Neural Networks
An introduction to neural networks - Kevin Gurney & University of Sheffield
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Coding Theory - Algorithms, Architectures and Application
Intelligent Projects Using Python - Santanu Pattanayak
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Introduction to Scientific Programming with Python - Joakim Sundnes
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning with PyTorch - Vishnu Subramanian