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.

This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future. An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential. The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.

Human intuition and perception are basic and essential phenomena of consciousness. As such, they will never be replicated by computers. This is the challenging notion of Hubert Dreyfus, Ph. D., archcritic of the artificial intelligence establishment. It's important to emphasize that he doesn't believe that AI is fundamentally impossible, only that the current research program is fatally flawed. Instead, he argues that to get a device (or devices) with human-like intelligence would require them to have a human-like being in the world, which would require them to have bodies more or less like ours, and social acculturation (i.e. a society) more or less like ours. This helps to explain the practical problems in implementing artificial intelligence algorithms.

Five easy rules for developing intuition, based on trailblazing research by a top Australian neuroscientist. Learn when it’s safe to rely on intuition in decision-making and when it’s not. Intuition has saved lives and averted disasters, and it also lies behind countless innovative decisions. Steve Jobs, for one, regularly relied on his intuition in making business decisions at Apple. Some people use intuition more readily than others but anyone can learn to develop and trust it. The key is ensuring that certain conditions are met so as to avoid the pitfalls. Neuroscientist Joel Pearson has identified five essential rules for using intuition, easily remembered by the acronym SMILE: S: Self-awareness (Feeling emotional? Don't trust your intuition) M: Mastery (Learn before you leap: why mastery matters for intuition) I: Impulses and Addiction (These are not intuition) L: Low Probability (Don’t use intuition for probabilistic judgments) E: Environment (Use intuition only in familiar and predictable contexts) In explaining these rules, Joel takes anecdotes from real life, including mountain climber Jon Muir’s lifesaving decision; a gameshow that uses humans’ innate misunderstanding of probability to rig its prizes; why you should never go rock-climbing on a first date; and what happens when Usain Bolt races in low gravity. The Intuition Toolkit is scientifically solid, highly readable and utterly fascinating.

This book explores the science behind intuitive decision-making in business, and shows how people's innate capacity for intuition can be nurtured and strengthened to maximize performance. We are all familiar with those perplexing situations when we think we 'just know' without knowing how or why we know. In professional life it might be the job candidate's CV that checks all the boxes but somehow doesn't stack-up: should we perform some due diligence and dig a little deeper? In personal life it could be the apartment that we're looking to rent that just felt right the minute we walked through the front door: should we trust our hunch and grab it while we can? What if time is of the essence? What if there isn't any more data to be had in the time available? In this volume, Eugene Sadler-Smith examines why situations like these often leave us in a quandary, and why these decisions so often leave us in two minds. He reveals that metaphorically speaking, we have two minds in one brain: an 'analytical mind' and an 'intuitive mind', which sometimes come to quite different conclusions about what we ought to do in those consequential decisions that permeate our professional and personal lives. Rather than thinking of our intuitive and analytical minds in constant battle with each other, we might instead think of them as two information-processing systems that have evolved to complement each other. The main idea of this book is that our analytical mind evolved to 'solve' whilst our intuitive mind evolved to 'sense'. Neither is infallible, and our intuitions can be both flawed and marvellous at the same time. The author's clear and detailed explanation of the science behind intuition reveals how we can make intelligent use of our intuition to sense and solve our way through a world that is fast-moving, complex, and uncertain.

Bion, Intuition and the Expansion of Psychoanalytic Theory illuminates how Bion’s work on intuition has changed the landscape of contemporary psychoanalysis through his understanding of its supra-scientific and non-sub-scientific condition. Based on the work of the biannual Bion conference, this book includes contributions from the most eminent voices on Bion’s work. The global cohort of contributors in this volume examine topics such as dream work, the Infinite Unconscious, the Spectral model of the mind, the realm of the minus and observation and intuition. Each chapter explores different elements arising from Bion’s insistence on learning from experience and establishing the difference between knowing and becoming as an experiential process of the mind as a container in relation to its contents of sensations, feelings, dreams and thoughts. This book will be of key interest to analysts and analytic therapists of all schools and is an essential resource for those that follow the work of Bion.

Just like any new technology, what perplexes many is the question of how to apply Deep Learning in a business context. Technology that is disruptive does not automatically imply that the development of valuable use cases are apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in that same situation with Deep Learning AI. The developments are mind-boggling but the monetization is far from being obvious.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. Furthermore, the ramifications to society and even our own humanity can be immense. 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.

This book explores the subject of artificial psychology and how the field must adapt human neuro-psychological testing techniques to provide adequate cognitive testing of advanced artificial intelligence systems. It shows how classical testing methods will reveal nothing about the cognitive nature of the systems and whether they are learning, reasoning, and evolving correctly; for these systems, the authors outline how testing techniques similar to/adapted from human psychological testing must be adopted, particularly in understanding how the system reacts to failure or relearning something it has learned incorrectly or inferred incorrectly. The authors provide insights into future architectures/capabilities that artificial cognitive systems will possess and how we can evaluate how well they are functioning. It discusses at length the notion of human/AI communication and collaboration and explores such topics as knowledge development, knowledge modeling and ambiguity management, artificial cognition and self-evolution of learning, artificial brain components and cognitive architecture, and artificial psychological modeling. Explores the concepts of Artificial Psychology and Artificial Neuroscience as applied to advanced artificially cognitive systems; Provides insight into the world of cognitive architectures and biologically-based computing designs which will mimic human brain functionality in artificial intelligent systems of the future; Provides description and design of artificial psychological modeling to provide insight into how advanced artificial intelligent systems are learning and evolving; Explores artificial reasoning and inference architectures and the types of modeling and testing that will be required to "trust" an autonomous artificial intelligent systems.

This engaging overview of the academic theory of intuition and its cultural, psychological and philosophical background is essential reading for anyone interested in personal development and decision-making.

Extraordinist Craig Karges is known to millions of television viewers for his remarkable demonstrations of extraordinary phenomena on The Tonight Show with Jay Leno, Larry King Live, and many other TV shows. He presented his one-man touring show "Experience the Extraordinary" at performing arts centers, universities and corporate events in over 150 cities worldwide in 1998. Readers will learn how to use their intuition to solve problems, make decisions, come up with creative ideas, forecast their future, and even learn how to be in the right place at the right time. Karges reveals to readers proven techniques to program the subconscious mind for success including visualization, affirmations, and goal setting. They will learn how to use their subconscious to achieve personal goals and become the individuals they truly want to be. Karges also delves deeper into the power of the subconscious disclosing how to use dreams to solve problems and gain powerful insights about life. He reveals how it may be possible to know the unknown — how to exploit your natural psychic abilities. Readers will learn how to recognize these powers, develop them, and use them in daily life. Karges includes exercises, games, and stunts that help readers test and enhance subconscious skills, while amazing their friends at the same time.