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:

Machine Learning with Python for everyone - Mark E.Fenner
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning with Python - Francois Chollet
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning in Python - LazyProgrammer
Introduction to Deep Learning - Eugene Charniak
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning for Natural Language Processing - Jason Brownlee
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Amazon Machine Learning Developer Guild Version Latest
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Coding Theory - Algorithms, Architectures and Application
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Python Deep Learning Cookbook - Indra den Bakker
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Data Structures and Algorithms - Benjamin Baka
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Python Machine Learning - Sebastian Raschka
Learn Keras for Deep Neural Networks - Jojo Moolayil
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...