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:

Deep Learning with PyTorch - Vishnu Subramanian
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Introduction to Scientific Programming with Python - Joakim Sundnes
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
An introduction to neural networks - Kevin Gurney & University of Sheffield
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Introduction to the Math of Neural Networks - Jeff Heaton
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Python Data Structures and Algorithms - Benjamin Baka
Fundamentals of Deep Learning - Nikhil Bubuma
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Learn Keras for Deep Neural Networks - Jojo Moolayil
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Java Deep Learning Essentials - Yusuke Sugomori
Introduction to Deep Learning - Eugene Charniak
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Amazon Machine Learning Developer Guild Version Latest
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Machine Learning with Python for everyone - Mark E.Fenner
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda