Our species is more profoundly connected to the sea than we ever realized, as an intrepid cadre of scientists, athletes, and explorers is now discovering. Deep follows these adventurers into the ocean to report on the latest findings about its wondrous biology -- and unimagined human abilities.

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.

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.

Garry Kasparov's 1997 chess match against the IBM supercomputer Deep Blue was a watershed moment in the history of technology. It was the dawn of a new era in artificial intelligence: a machine capable of beating the reigning human champion at this most cerebral game. That moment was more than a century in the making, and in this breakthrough book, Kasparov reveals his astonishing side of the story for the first time. He describes how it felt to strategize against an implacable, untiring opponent with the whole world watching, and recounts the history of machine intelligence through the microcosm of chess, considered by generations of scientific pioneers to be a key to unlocking the secrets of human and machine cognition. Kasparov uses his unrivaled experience to look into the future of intelligent machines and sees it bright with possibility. As many critics decry artificial intelligence as a menace, particularly to human jobs, Kasparov shows how humanity can rise to new heights with the help of our most extraordinary creations, rather than fear them. Deep Thinking is a tightly argued case for technological progress, from the man who stood at its precipice with his own career at stake.

AN AMAZON BEST BOOK OF 2O16 PICK IN BUSINESS & LEADERSHIP WALL STREET JOURNAL BUSINESS BESTSELLER A BUSINESS BOOK OF THE WEEK AT 800-CEO-READ Master one of our economy’s most rare skills and achieve groundbreaking results with this “exciting” book (Daniel H. Pink) from an “exceptional” author (New York Times Book Review). Deep work is the ability to focus without distraction on a cognitively demanding task. It's a skill that allows you to quickly master complicated information and produce better results in less time. Deep Work will make you better at what you do and provide the sense of true fulfillment that comes from craftsmanship. In short, deep work is like a super power in our increasingly competitive twenty-first century economy. And yet, most people have lost the ability to go deep-spending their days instead in a frantic blur of e-mail and social media, not even realizing there's a better way. In Deep Work, author and professor Cal Newport flips the narrative on impact in a connected age. Instead of arguing distraction is bad, he instead celebrates the power of its opposite. Dividing this book into two parts, he first makes the case that in almost any profession, cultivating a deep work ethic will produce massive benefits. He then presents a rigorous training regimen, presented as a series of four "rules," for transforming your mind and habits to support this skill. 1. Work Deeply 2. Embrace Boredom 3. Quit Social Media 4. Drain the Shallows A mix of cultural criticism and actionable advice, Deep Work takes the reader on a journey through memorable stories-from Carl Jung building a stone tower in the woods to focus his mind, to a social media pioneer buying a round-trip business class ticket to Tokyo to write a book free from distraction in the air-and no-nonsense advice, such as the claim that most serious professionals should quit social media and that you should practice being bored. Deep Work is an indispensable guide to anyone seeking focused success in a distracted world.

HISTORY / Modern / 20th Century; SCIENCE / History; TECHNOLOGY & ENGINEERING / History.