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:

Intelligent Projects Using Python - Santanu Pattanayak
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Fundamentals of Deep Learning - Nikhil Bubuma
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Python Data Structures and Algorithms - Benjamin Baka
Neural Networks - A visual introduction for beginners - Michael Taylor
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Deep Learning with Theano - Christopher Bourez
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python Machine Learning - Sebastian Raschka
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning with PyTorch - Vishnu Subramanian
Medical Image Segmentation Using Artificial Neural Networks
Data Science and Big Data Analytics - EMC Education Services
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
R Deep Learning Essentials - Dr. Joshua F.Wiley
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Amazon Machine Learning Developer Guild Version Latest
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Machine Learning with Python for everyone - Mark E.Fenner
Deep Learning for Natural Language Processing - Jason Brownlee
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning with Applications Using Python - Navin Kumar Manaswi