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 Machine Learning - Sebastian Raschka
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Data Science and Big Data Analytics - EMC Education Services
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Machine Learning with spark and python - Michael Bowles
Java Deep Learning Essentials - Yusuke Sugomori
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Deep Learning with Theano - Christopher Bourez
Amazon Machine Learning Developer Guild Version Latest
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Pattern recognition and machine learning - Christopher M.Bishop
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning with Python - Francois Chollet
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
The hundred-page Machine Learning Book - Andriy Burkov
Artificial Intelligence by example - Denis Rothman
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Python Data Structures and Algorithms - Benjamin Baka
Machine Learning with Python for everyone - Mark E.Fenner
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Deep Learning Cookbook - Indra den Bakker
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning in Python - LazyProgrammer
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning with Applications Using Python - Navin Kumar Manaswi