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
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Artificial Intelligence by example - Denis Rothman
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Introduction to the Math of Neural Networks - Jeff Heaton
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning in Python - LazyProgrammer
Amazon Machine Learning Developer Guild Version Latest
Deep Learning with Python - Francois Chollet
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
The hundred-page Machine Learning Book - Andriy Burkov
Introduction to Deep Learning - Eugene Charniak
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Grokking Deep Learning - MEAP v10 - Andrew W.Trask