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        The Deep Learning AI Playbook

        The Deep Learning AI Playbook

        Strategy for Disruptive Artificial Intelligence

        Visit https://deeplearningplaybook.com for more information.

        You can listen to a section of this book here: https://medium.com/intuitionmachine/the-strange-loop-in-alphago-zeros-self-play-6e3274fcdd9f

        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.

        Paperback and Hardbound available at: http://www.lulu.com/spotlight/playbook

        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

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        • Size 5.2MB
        • Length 320 pages
        • Format ePub, PDF

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