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:

Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Artificial Intelligence by example - Denis Rothman
Medical Image Segmentation Using Artificial Neural Networks
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Introduction to the Math of Neural Networks - Jeff Heaton
R Deep Learning Essentials - Dr. Joshua F.Wiley
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Data Structures and Algorithms - Benjamin Baka
Introduction to Scientific Programming with Python - Joakim Sundnes
Learn Keras for Deep Neural Networks - Jojo Moolayil
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Amazon Machine Learning Developer Guild Version Latest
Deep Learning with Python - Francois Cholletf
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Python Deep Learning Cookbook - Indra den Bakker
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning in Python - LazyProgrammer
Python Machine Learning - Sebastian Raschka
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Pattern recognition and machine learning - Christopher M.Bishop
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Machine Learning Eqution Reference - Sebastian Raschka
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...