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 with Theano - Christopher Bourez
Deep Learning with PyTorch - Vishnu Subramanian
Introduction to Deep Learning - Eugene Charniak
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning with Hadoop - Dipayan Dev
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Artificial Intelligence by example - Denis Rothman
Coding Theory - Algorithms, Architectures and Application
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
The hundred-page Machine Learning Book - Andriy Burkov
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Amazon Machine Learning Developer Guild Version Latest
Python Data Structures and Algorithms - Benjamin Baka
Pattern recognition and machine learning - Christopher M.Bishop
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Python Machine Learning - Sebastian Raschka
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning with Keras - Antonio Gulli & Sujit Pal