The Deep Learning AI Playbook
Strategy for Disruptive Artificial Intelligence
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You can listen to a section of this book here: https://medium.com/intuitionmachine/the-strange-loop-in-alphago-zeros-self-play-6e3274fcdd9f
AUDIO recordings (mp3) of each chapter INCLUDED. This audio was created using Deep Learning TTS (text to speech) technology.
PDF, EPUB, MOBI formats.
Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI.
One question many have will be "how to apply Deep Learning AI in a business context?" Technology that is disruptive does not automatically imply that its application to valuable use cases will be apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in a similar situation with Deep Learning AI. The developments may be mind-boggling but its monetization is far from being obvious. This book presents a framework to address this shortcoming.
Wholesale paperback purchase, please contact info@intuitionmachine.com
I however prefer this digital version over the print due to the links being clickable and its lower ecological footprint.
Preface 1
1 Introduction 5
Disruptive Artificial Intelligence 6
What is Deep Learning? 10
Tribes of Artificial Intelligence 13
Survey of the Major Players 21
2 Applications in the Wild 27
Self Driving Enterprises 27
Assistive and Generative Capabilities 30
Predicting Human Behavior 32
Machines that Teach 35
Summary 36
3 Intuition and Cognitive Bias 40
Limits of Rational Thought 40
Artificial Intuition 44
Variety of Intelligences 50
Learning using Intuition 55
Natural Stupidity 61
Weaponized AI 65
Legacy Bias 68
Summary 72
4 Deep Learning Meta Model 73
Ilities 73
Unknowable Knowns 76
Characteristics of Artificial Intuition 79
A Roadmap for Deep Learning 82
Exploitation, Exploration and Representation 87
Meta Model 92
A Reality Checklist 96
Deep Learning Limitations 98
Artificial General Intelligence 105
The Strange Loop 107
Summary 112
5 Re-imagine Enterprises 113
Introduction 113
Disruption with Learning Platforms 114
Architectures of Participation 119
Levels of Automation 122
The Responsive Corporation 125
Defensible Business Models 128
Summary 131
6 Best Practices 132
Accelerate Productivity 132
Embrace Agility 136
Understand the Development Lifecycle 139
Alchemy and Black Magic 142
Manage Technical Debt 147
Treat Data as Assets 153
Reveal Dark Data 154
Democratize your Data 155
UX Design 157
Acquire Relevant Talent 159
Humans in the Loop 160
Summary 164
7 The Deep Learning Canvas 166
Introduction 166
Jobs To Be Done 169
The Canvas 177
Case Studies 180
Summary 192
8 Contextual Adaptation 194
Biologically Inspired Architecture 195
Generalization 196
Transfer Learning and Domain Adaptation 201
Loose Coupling 203
Context Entanglement 211
9 Double Exponential Progress 215
Modular Deep Learning 216
Meta Learning 224
Game Theoretic Coordination 238
Deep Teaching 245
Near Term Predictions 248
Three Dimensions of Cognition 252
Summary 258
10 Literate Machines 261
Coordinating Rationality and Intuition 263
Learning to Communicate 268
Explainability 272
AlphaGo Zero’s Self-Learning 275
Summary 282
11 Human Compatible AI 283
Jobs that are Safe 284
Temporal Impedance Mismatch 289
Decisions and Responsibility 291
A.I. Regulation 292
Seven Deadly Sins 295
Provably Beneficial AI 299
Copyright © 2017 Carlos E. Perez
All rights reserved.
ISBN: 197816310X
ISBN-13: 978-1978163102