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:

TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
An introduction to neural networks - Kevin Gurney & University of Sheffield
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Introduction to the Math of Neural Networks - Jeff Heaton
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning with Hadoop - Dipayan Dev
Deep Learning for Natural Language Processing - Jason Brownlee
Artificial Intelligence by example - Denis Rothman
Machine Learning with Python for everyone - Mark E.Fenner
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Deep Learning and Neural Networks - Jeff Heaton
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Machine Learning with spark and python - Michael Bowles
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Introduction to Deep Learning - Eugene Charniak
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning with Python - Francois Cholletf
The hundred-page Machine Learning Book - Andriy Burkov
Neural Networks and Deep Learning - Charu C.Aggarwal
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Java Deep Learning Essentials - Yusuke Sugomori
Introduction to Scientific Programming with Python - Joakim Sundnes