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 - A Very Short Introduction - Margaret A.Boden
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Pattern recognition and machine learning - Christopher M.Bishop
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning with Python - Francois Chollet
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
The hundred-page Machine Learning Book - Andriy Burkov
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Data Science and Big Data Analytics - EMC Education Services
Deep Learning in Python - LazyProgrammer
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning with Hadoop - Dipayan Dev
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Coding Theory - Algorithms, Architectures and Application
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty