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:
Fundamentals of Deep Learning - Nikhil Bubuma
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
R Deep Learning Essentials - Dr. Joshua F.Wiley
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Machine Learning with Python for everyone - Mark E.Fenner
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Introduction to Scientific Programming with Python - Joakim Sundnes
Pattern recognition and machine learning - Christopher M.Bishop
Introduction to Deep Learning - Eugene Charniak
Medical Image Segmentation Using Artificial Neural Networks
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning for Natural Language Processing - Jason Brownlee
Learn Keras for Deep Neural Networks - Jojo Moolayil
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning in Python - LazyProgrammer
