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In a future London that is completely underwater, where adults and children are subject to different police forces, Jemma Mallard, the daughter of an adult officer, finds herself in trouble with the juvenile police who suspect her of contact with a terrorist known as Father Thames.
__________________ London Clay explores the hidden layers that make up this city. Armed with just his tattered Streetfinder map, Chivers leads his reader down forgotten waterways into abandoned catacombs and buried stations, exploring the nooks and crannies of a forgotten city. His network of journeys combine together to produce a compelling interrogation of London's past. In a route that covers much of his own personal history, this is a bold exploration of the city's secrets and asks us also to consider important questions about its future.
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.
Twin sisters Hassana and Husseina have always shared their lives. But after a raid on their village in 1892, the twins are torn apart. Taken in different directions, far from their home in rural West Africa, each sister finds freedom and a new start. Hassana settles in in the city of Accra, where she throws herself into working for political and social change. Husseina travels to Salvador, Brazil, where she becomes immersed in faith, worshipping spirits that bridge the motherland and the new world. Separated by an ocean, they forge new families, ward off dangers, and begin to truly know themselves. As the twins pursue their separate paths, they remain connected through their shared dreams. But will they ever manage to find each other again? “Uplifting . . . sizzles with sister-love and magic. What an incredible storyteller!”—Yaba Badoe, author of A Jigsaw of Fire and Stars
This revealing memoir from a 34-year veteran of the CIA who worked as a case officer and recruiter of foreign agents before and after 9/11 provides an invaluable perspective on the state of modern spy craft, how the CIA has developed, and how it must continue to evolve. If you've ever wondered what it's like to be a modern-day spy, Douglas London is here to explain. London's overseas work involved spotting and identifying targets, building relationships over weeks or months, and then pitching them to work for the CIA--all the while maintaining various identities, a day job, and a very real wife and kids at home. The Recruiter: Spying and the Lost Art of American Intelligence captures the best stories from London's life as a spy, his insights into the challenges and failures of intelligence work, and the complicated relationships he developed with agents and colleagues. In the end, London presents a highly readable insider's tale about the state of espionage, a warning about the decline of American intelligence since 9/11 and Iraq, and what can be done to recover.
Travel under the streets of London with this lavishly illustrated exploration of abandoned, modified, and reused Underground tunnels, stations, and architecture.
"Rebellious teen Jemima Mallard has done the unthinkable. She's joined the Youth Police Department (YPD). Is she serious, or is she spying for the criminal Father Thames? Fellow YPD officer Nick Mallard isn't sure. Before he can test her loyalty, the two must go to war. Their city is under attack. From the Thames Barrier Reef to the Sink estates, strange ships have breached the defenses. London hasn't seen anything like these raiders - adults and kids sailing and working together. But orders are orders, Jem must find find a way to stop them"--
NATIONAL BESTSELLER • A blackly comic late 20th-century murder mystery set against the looming end of the millennium, in which a woman tries to orchestrate her own extinction—from "one of the most gifted novelists of his generation" (TIME). “Lyrical and obscene, colloquial and rhapsodic." —The New York Times First published in 1989, London Fields is set ten years into a dark future, against a backdrop of environmental and social decay and the looming threat of global cataclysm. As the dreaded Y2K approaches, Nicola Six, a “black hole” of sex and self-loathing, has chosen her thirty-fifth birthday, November 5, 1999, as the date of her own murder. Whom to manipulate into killing her is the question; her choice wavers between violent lowlife Keith Talent, who is obsessed with winning a darts tournament, and a dimly romantic banker named Guy Clinch. When Samson Young—a writer suffering from a long bout of writer’s block—stumbles upon these three, he believes he has found a story that will write itself. A highly unusual mystery with an unexpected twist at the end, London Fields is also a corrosively funny narrative of pyrotechnic complexity and scalding moral vision.