Grokking Deep Learning – MEAP v10 – Andrew W.Trask

It is a powerful tool for the incremental automation of intelligence.
From the beginning of time, humans have been building better and better tools to understand and control the environment around us. Deep Learning is today’s chapter in this story of innovation. Perhaps what makes this chapter so compelling is that this field is more of a mental innovation than a mechanical one. Much like its sister fields in Machine Learning, Deep Learning seeks to automate intelligence bit by bit, and in the past few years it has achieved enourmous success and progress in this endeavor, exceeding previous records in Computer Vision, Speech Recognition, Machine Translation, and many other tasks. This is particularly extraordinary given that Deep Learning seems to use largely the same brain- inspired algorithm (Neural Networks) for achieving these accomplishments across a vast number of fields. Even though Deep Learning is still an actively developing field with many challenges, recent developments have lead to tremendous excitement that perhaps we have in fact discovered more than just a great tool, but a window into our own minds as well.

Deep Learning has the potential for significant automation of skilled labor.
There is a substantial amount of hype around the potential impacts of Deep Learning if the current trend of progress is extrapolated at varying speeds. While many of these predictions are over-zealous, there is one that I think merits your consideration, job displacement. I think that this claim stands out from the rest for no other reason than if Deep Learning’s innovations stopped today, there would already be an incredible impact on skilled labor around the globe. Call center operators, taxi drivers, and low-level business analysts are compelling examples where Deep Learning can provide a low-cost alternative. Fortunately, the economy doesn’t turn on a dime, but in many ways we are already past the point of concern with the current power of the technology. It is my hope that you (and people you know) will be enabled by this book to transition from perhaps one of the industries facing disruption into an industry ripe with growth and prosperity, Deep Learning.

Related posts:

Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python Deep Learning Cookbook - Indra den Bakker
Learn Keras for Deep Neural Networks - Jojo Moolayil
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Introduction to the Math of Neural Networks - Jeff Heaton
Medical Image Segmentation Using Artificial Neural Networks
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning in Python - LazyProgrammer
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Intelligent Projects Using Python - Santanu Pattanayak
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Data Science and Big Data Analytics - EMC Education Services
Deep Learning with Hadoop - Dipayan Dev
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Deep Learning for Natural Language Processing - Jason Brownlee
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Amazon Machine Learning Developer Guild Version Latest
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning with Python - Francois Cholletf