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
Introduction to Scientific Programming with Python - Joakim Sundnes
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
R Deep Learning Essentials - Dr. Joshua F.Wiley
Amazon Machine Learning Developer Guild Version Latest
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Machine Learning - Sebastian Raschka
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster