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:

Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Data Science and Big Data Analytics - EMC Education Services
Deep Learning in Python - LazyProgrammer
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Introduction to the Math of Neural Networks - Jeff Heaton
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Machine Learning with Python for everyone - Mark E.Fenner
The hundred-page Machine Learning Book - Andriy Burkov
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Neural Networks and Deep Learning - Charu C.Aggarwal
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Python Machine Learning - Sebastian Raschka
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
R Deep Learning Essentials - Dr. Joshua F.Wiley
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning with Hadoop - Dipayan Dev
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Deep Learning with Theano - Christopher Bourez
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville