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:
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Python Data Structures and Algorithms - Benjamin Baka
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Python Deep Learning Cookbook - Indra den Bakker
An introduction to neural networks - Kevin Gurney & University of Sheffield
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Learn Keras for Deep Neural Networks - Jojo Moolayil
Fundamentals of Deep Learning - Nikhil Bubuma
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Data Science and Big Data Analytics - EMC Education Services
Intelligent Projects Using Python - Santanu Pattanayak
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning with Hadoop - Dipayan Dev
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Java Deep Learning Essentials - Yusuke Sugomori
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning in Python - LazyProgrammer
The hundred-page Machine Learning Book - Andriy Burkov
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning and Neural Networks - Jeff Heaton
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach