Deep

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

"A strange plague called the 'Gets is decimating humanity on a global scale. It causes people to forget--small things at first, like where they left their keys, then the not-so-small things like how to drive or the letters of the alphabet. Then their bodies forget how to function involuntarily. There is no cure. But far below the surface of the Pacific Ocean, a universal healer hailed as 'ambrosia' has been discovered. In order to study this phenomenon, a special research lab has been built eight miles under the sea's surface. When the station goes incommunicado, a brave few descend through the lightless fathoms in hopes of unraveling the mysteries lurking at those crushing depths...and perhaps to encounter an evil blacker than anything one could possibly imagine"--Page [4] of cover.

Surveys the achievements of adventurous scientists, athletes and explorers to reveal how new understandings about deep-sea life, from telepathic coral to shark navigation, are expanding what is known about the natural world and the human mind. 40,000 first printing.

Octavia E. Butler meets Marvel’s Black Panther in The Deep, a story rich with Afrofuturism, folklore, and the power of memory, inspired by the Hugo Award–nominated song “The Deep” from Daveed Diggs’s rap group Clipping. Yetu holds the memories for her people—water-dwelling descendants of pregnant African slave women thrown overboard by slave owners—who live idyllic lives in the deep. Their past, too traumatic to be remembered regularly is forgotten by everyone, save one—the historian. This demanding role has been bestowed on Yetu. Yetu remembers for everyone, and the memories, painful and wonderful, traumatic and terrible and miraculous, are destroying her. And so, she flees to the surface escaping the memories, the expectations, and the responsibilities—and discovers a world her people left behind long ago. Yetu will learn more than she ever expected about her own past—and about the future of her people. If they are all to survive, they’ll need to reclaim the memories, reclaim their identity—and own who they really are. The Deep is “a tour de force reorientation of the storytelling gaze…a superb, multilayered work,” (Publishers Weekly, starred review) and a vividly original and uniquely affecting story inspired by a song produced by the rap group Clipping.

With fifty-two brief readings ideal for weekly reflection, this devotional from pastor Joshua Choonmin Kang invites you to walk slowly, paying attention to God's work in you and around you, to walk intentionally, using spiritual disciplines to develop Christlike character, and to walk purposefully, experiencing deeper grace and vision.

Deep learning is an artificially intelligent entity that teaches itself and can be utilized to make predictions. Deep learning mimics the human brain and provides learned solutions addressing many challenging problems in the area of visual computing. From object recognition to image classification for diagnostics, deep learning has shown the power of artificial deep neural networks in solving real world visual computing problems with super-human accuracy. The introduction of deep learning into the field of visual computing has meant to be the death of most of the traditional image processing and computer vision techniques. Today, deep learning is considered to be the most powerful, accurate, efficient and effective method with the potential to solve many of the most challenging problems in visual computing. This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine learning. It introduces readers to the world of deep neural network architectures with easy-to-understand explanations. From face recognition to image classification for diagnosis of cancer, the book provides unique examples of solved problems in applied visual computing using deep learning. Interested and enthusiastic readers of modern machine learning methods will find this book easy to follow. They will find it a handy guide for designing and implementing their own projects in the field of visual computing.

An interdisciplinary dialogue with Shūsaku Endō’s last novel offering new perspectives on Japanese culture, Christian doctrine, Hindu spiritualities, and Buddhist worldviews. In Navigating Deep River, Mark W. Dennis and Darren J. N. Middleton have curated a wide-ranging discussion of Shūsaku Endō’s final novel, Deep River, in which four careworn Japanese tourists journey to India’s holy Ganges in search of spiritual as well as existential renewal. Navigating Deep River evaluates and probes Endō’s decades-long search to find the words to explain Transcendent Mystery, the difficult tension between faith and doubt, the purpose of spiritual journeys, and the challenges posed by the reality of religious pluralism in an increasingly diverse world. The contributors, including Van C. Gessel who translated Deep River into English in 1994, offer an engaged and patient exploration of this major text in world fiction, and this anthology promises to deepen academic appreciation for Endō, within and beyond the West. “This volume contextualizes, delineates, and articulates the complex religious/theological/spiritual dimensions of Deep River and its rich intertextual, interpersonal, psychosocial, and literary aspects. There are few edited volumes in which so many experts focus on a single Japanese text in this sustained manner, and this stands as a model of how to do so deftly and productively.” — David C. Stahl, author of Social Trauma, Narrative Memory and Recovery in Japanese Literature and Film

Deep brain stimulation has been used effectively for many years to treat patients suffering from Parkinson's disease. Now, neurologists and neurosurgeons are using electric pulse generators to block abnormal activity, i.e. epileptic fits. Promising research results indicate that electric pulses implanted deep in the brain can affect neurocircuitry and help stop oncoming seizures. Supplying a solid background on brain stimulation and its application to epilepsy, Deep Brain Stimulation and Epilepsy provides a historical overview, explores pathogenesis of brain stimulation, discusses animal experiments and human studies, and explores future prospects of brain stimulation for epileptic control. The editor and his team of contributors distill information drawn directly from the literature into one convenient resource.