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        Artificial Intuition : The Improbable Deep Learning Revolution

        Artificial Intuition : The Improbable Deep Learning Revolution

        I challenge you to find a field as interesting and exciting as Deep Learning. This book is a spin-off from my previous book "The Deep Learning AI Playbook". The Playbook was meant for a professional audience. This is targeted to a much wider audience. There are two kinds of audiences, those looking to explore and those looking to optimize. There are two ways to learn, learning by exploration and learning by exploitation. This book is about exploration into the emerging field of Deep Learning. It's more like a popular science book and less of a business book. It's not going to provide any practical advice of how to use or deploy Deep Learning. However, it's a book that will explore this new field in many more perspectives. So at the very least, you’ll walk away with the ability  to hold a very informative and impressive conversation about this unique subject.

        It's my hope that having less constraints on what I can express can lead to a more insightful and novel book. There are plenty of ideas that are either too general or too speculative to fit within a business oriented book. With a business book, you always want to manage expectations.  Artificial Intelligence is one of those topics that you want to keep speaking in a conservative manner.  That's one reason I felt the need for this book. Perhaps the freedom to be more liberal can give readers more ideas as where this field is heading. Also, it's not just business that needs to understand Deep Learning. We are all going to be profoundly impacted by this new kind of Artificial Intelligence and it is critical we all develop at least a good intuition of how it will change the world.The images in the front cover are all generated using Deep Learning technology.

        The images on the cover of the book are generated by Deep Learning automation. 

        Preface 12

        1 Introduction 14

        A New Kind of Artificial Intelligence 16

        What is Deep Learning? 20

        Explaining to a Five Year Old 23

        Tribes of Artificial Intelligence 24

        The Deep Learning Industrial Complex 31

        Heart Throbbing Hardware 36

        The Sputnik Moment in Asia 40

        2 Deep Learning is Eating the World 44

        Self Driving Machines 44

        Artistic Machines 47

        The Uncanny Valley 49

        Reading Human Minds 51

        Machines that Teach 54

        Summary 55

        3 Our Cognitive Stack 59

        Variety of Human Intelligences 60

        Learning using Intuition 64

        Natural Stupidity 71

        Hacking Intuition 74

        Human Legacy Bias 77

        4 Artificial Intuition 82

        Limits of Rationality 83

        Artificial Intuition 86

        Characteristics of Artificial Intuition 93

        Growing Innate Intuition 97

        Intuition Demolishes Logic 101

        5 Uncertain Reality 105

        Unknowable Knowns 106

        Probability and Causality 108

        Cargo Cult Science and Alchemy 116

        Exploitation, Exploration and Representation 124

        A Roadmap for Deep Learning 129

        Meta Model 134

        Stochastic Gradient Descent 138

        A Reality Checklist 145

        Deep Learning Limitations 147

        Artificial General Intelligence 153

        6 The Learning Universe 156

        Alien Intelligences in Our Midst 157

        Biological Brains are Digital 160

        The Holographic Principle 163

        Imaginary Numbers 169

        Non-Equilibrium Information Dynamics 175

        Chaos and Entanglement 183

        Deconstructing Complexity 188

        Sand Piles 194

        The Origins of Life and Learning 197

        7 Capitalism in the Age of Intelligence 203

        Disruption with Learning Platforms 204

        Architectures of Participation 209

        Levels of Automation 212

        The Responsive Corporation 215

        8 Knowledge Creation 219

        Accelerated Productivity 220

        The Agile Manifesto 223

        Pattern Languages 227

        Alchemy and Black Magic 232

        Data is the new Vineyard 234

        Humans in the Loop 235

        9 Contextual Adaptation 240

        Biologically Inspired Architecture 241

        Generalization 243

        Deep Teaching 247

        Three Dimensions of Cognition 250

        The Spectrum of Embodied Learning 256

        10 Conversational Cognition 262

        Coordinating Rationality and Intuition 265

        Learning to Communicate 270

        The Many Body Problem 274

        Explainability 277

        AlphaGo Zero’s Self-Learning 279

        Architectures of Collaboration 287

        Machine Self-Awareness 293

        The Strange Loop 298

        11 Human Compatible AI 304

        Jobs that are Safe 305

        Temporal Impedance Mismatch 311

        Decisions and Responsibility 312

        AI Regulation 314

        Seven Deadly Sins 317

        Provably Beneficial AI 321

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