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 in Python - LazyProgrammer
Intelligent Projects Using Python - Santanu Pattanayak
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning and Neural Networks - Jeff Heaton
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning with Hadoop - Dipayan Dev
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning with Theano - Christopher Bourez
Introduction to Deep Learning - Eugene Charniak
Deep Learning with PyTorch - Vishnu Subramanian
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning with Keras - Antonio Gulli & Sujit Pal
An introduction to neural networks - Kevin Gurney & University of Sheffield
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Machine Learning with Python for everyone - Mark E.Fenner
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Introduction to Scientific Programming with Python - Joakim Sundnes
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf