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.

The goal of this book is to establish the foundation, principles, theory, and concepts that are the backbone of real, autonomous Artificial Intelligence. Presented here are some basic human intelligence concepts framed for Artificial Intelligence systems. These include concepts like Metacognition and Metamemory, along with architectural constructs for Artificial Intelligence versions of human brain functions like the prefrontal cortex. Also presented are possible hardware and software architectures that lend themselves to learning, reasoning, and self-evolution

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.

Intuition is perceiving direct sensations of matter. It is qualitatively different from rational thinking. The human mind is familiar with thinking in rational functions such as deduction, generalization, comparison, analysis and so on. People mostly stay in this conceptual world of the mind in their everyday lives. But, among the mental functions, intuitive recognition apparently works in everyday lives in spite of its humble position. The usage of a simple coffee maker is intuitively understood without the manual. Likewise, the position of trivial things is intuitively perceived and controlled. People employ intuition most often in simple and trivial things in everyday life. The inspiration for the meaning of a life, considered over a long time span, or the wisdom of overcoming deep troubles might at first look intuitive rather than rational, but these cases could be interpreted as the accumulation of brewed rationality, too. There are possibilities of pure intuition which could be experienced by everybody. However, these possibilities are mostly ignored because of a lack of understanding how to use. How to originate intuitive functions intentionally and how to improve their quality and quantity will be explained in this book. The sensation of artificial intuition seems to have infinite and noble features. These features could be drawn into reality and could make reality be sensed differently. Everybody can experience such transcendence with artificial intuition. Gradually, this journey will indicate the direction of a noble life. People will happily prefer actualization of purity to hatred, prejudice, obstinate desire and vain daydreams. Even if people select impure thoughts and behaviors in tough reality, the inclination for the beauty of transcendence will gradually influence tiny notions and emotions in everyday lives. Beauty would conquer the human mind because, when a self is intuitively seen, that form of beauty is perceived as the Infinite. People will position intuition beyond rational functions at times when their experiences lead them in the opposite direction, toward the rationalization of their situations and surroundings. Finally, people will notice the novel meaning of helping other people because they will be already familiar with enkindling the light of intuition in other people. People will be closer to artificial transcendentalism, intuitively and naturally.

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.

The leading traits of executives often include creativity and innovation. Research shows that intuition can significantly enhance these traits. Developing intuitive executives and honing intuition, coupled with the ability to apply data and evidence to inform decision making, is the focus of Developing the Intuitive Executive: Using Analytics and Intuition for Success. Some researchers call the complement of applying data analytics to intuition as quantitative intuition, rational intuition, or informed intuition. Certainly, in today's data-driven environment, analytics plays a key role in executive decision-making. However, an executive’s many years of experiential learning are not formally considered as part of the decision-making process. Learning from both failures and successes can help fine-tune intuitive awareness—what this book calls intuition-based decision-making. Research also shows that many executives do not trust the internal data quality in their organizations, and so they rely on their intuition rather than strictly on data. This book presents the work of leading researchers worldwide on intuition in the management and executive domain. Their chapters cover key issues, trends, concepts, techniques, and opportunities for applying intuition as part of the executive decision-making process. Highlights include: Using intuition to manage new opportunities Intuition in medicine Rules based on intuition Balancing logic and intuition in decision-making Smart heuristics to manage complexity Intuition and competitiveness Intuitive investment decision-making across cultures Showing how intuition in executive decision-making should play an important role, this book enables managers to complement their knowledge gained from experience with analytics to improve decision-making and business success.