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Deep Learning


Deep Learning

Author: Ian Goodfellow

language: en

Publisher: MIT Press

Release Date: 2016-11-10


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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.

The Deep


The Deep

Author: Alma Katsu

language: en

Publisher: Penguin

Release Date: 2020-03-10


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From the acclaimed and award-winning author of The Hunger comes an eerie, psychological twist on one of the world's most renowned tragedies, the sinking of the Titanic and the ill-fated sail of its sister ship, the Britannic. Someone, or something, is haunting the ship. Between mysterious disappearances and sudden deaths, the guests of the Titanic have found themselves suspended in an eerie, unsettling twilight zone from the moment they set sail. Several of them, including maid Annie Hebley, guest Mark Fletcher, and millionaires Madeleine Astor and Benjamin Guggenheim, are convinced there's something sinister--almost otherwordly--afoot. But before they can locate the source of the danger, as the world knows, disaster strikes. Years later, Annie, having survived that fateful night, has attempted to put her life back together. Working as a nurse on the sixth voyage of the Titanic's sister ship, the Britannic, newly refitted as a hospital ship, she happens across an unconscious Mark, now a soldier fighting in World War I. At first, Annie is thrilled and relieved to learn that he too survived the sinking, but soon, Mark's presence awakens deep-buried feelings and secrets, forcing her to reckon with the demons of her past--as they both discover that the terror may not yet be over. Brilliantly combining the supernatural with the height of historical disaster, The Deep is an exploration of love and destiny, desire and innocence, and, above all, a quest to understand how our choices can lead us inexorably toward our doom.

Into the Deep


Into the Deep

Author: Robert D. Ballard

language: en

Publisher: National Geographic

Release Date: 2021-05-11


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The legendary explorer of Titanic and Lusitania reveals the secret military missions behind his famous exploits.