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:

Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Intelligent Projects Using Python - Santanu Pattanayak
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Machine Learning Eqution Reference - Sebastian Raschka
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Theano - Christopher Bourez
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Introduction to Deep Learning - Eugene Charniak
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Fundamentals of Deep Learning - Nikhil Bubuma
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Data Science and Big Data Analytics - EMC Education Services
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning in Python - LazyProgrammer
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Java Deep Learning Essentials - Yusuke Sugomori
R Deep Learning Essentials - Dr. Joshua F.Wiley
Amazon Machine Learning Developer Guild Version Latest
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland