Deep Learning dummies first edition – John Paul Mueller & Luca Massaron

When you talk to some people about deep learning, they think of some
deep dark mystery, but deep learning really isn’t a mystery at all — you
use it every time you talk to your smartphone, so you have it with you
every day. In fact, you find deep learning used everywhere. For example, you see it when using many applications online and even when you shop. You are surrounded by deep learning and don’t even realize it, which makes learning about deep learning essential because you can use it to do so much more than you might think possible.

Other people have another view of deep learning that has no basis in reality. They think that somehow deep learning will be responsible for some dire apocalypse, but that really isn’t possible with today’s technology. More likely is that someone will find a way to use deep learning to create fake people in order to commit crimes or to bilk the government out of thousands of dollars. However, killer robots are most definitely not part of the future.

Whether you’re part of the mystified crowd or the killer robot crowd, we hope that you’ll read Deep Learning For Dummies with the goal of understanding what deep learning can actually do. This technology can probably do a lot more in the way of mundane tasks than you think possible, but it also has limits, and you need to know about both.

Related posts:

Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Fundamentals of Deep Learning - Nikhil Bubuma
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Python - Francois Chollet
Deep Learning with Theano - Christopher Bourez
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
An introduction to neural networks - Kevin Gurney & University of Sheffield
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Introduction to the Math of Neural Networks - Jeff Heaton
Learn Keras for Deep Neural Networks - Jojo Moolayil
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Amazon Machine Learning Developer Guild Version Latest
Deep Learning in Python - LazyProgrammer
Machine Learning with spark and python - Michael Bowles
Intelligent Projects Using Python - Santanu Pattanayak
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido