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 Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Introduction to Scientific Programming with Python - Joakim Sundnes
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Pattern recognition and machine learning - Christopher M.Bishop
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Artificial Intelligence by example - Denis Rothman
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Intelligent Projects Using Python - Santanu Pattanayak
Learn Keras for Deep Neural Networks - Jojo Moolayil
Data Science and Big Data Analytics - EMC Education Services
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Deep Learning and Neural Networks - Jeff Heaton
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
R Deep Learning Essentials - Dr. Joshua F.Wiley