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:
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Intelligent Projects Using Python - Santanu Pattanayak
Fundamentals of Deep Learning - Nikhil Bubuma
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning in Python - LazyProgrammer
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning for Natural Language Processing - Jason Brownlee
Python Machine Learning Eqution Reference - Sebastian Raschka
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning with Hadoop - Dipayan Dev
Deep Learning and Neural Networks - Jeff Heaton
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Python Deep Learning Cookbook - Indra den Bakker
The hundred-page Machine Learning Book - Andriy Burkov