"Harper's poetry is not limited by color or attitude. In Images of Kin, Harper amazes with his keen sense of political and personal histories, his breadth of expression. This collection fixes Harper as one of the dominant poetic voices of his generation" -- Chicago Sun-Times "It is Mr. Harper's achievement to have projected his most difficult and complex insights and feelings through the epical manner, yet at the same time carried us along to identify with him." -- New York Times Book Review

Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This book covers topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoencoders. The focus is also on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints, while examining the future trends in deep learning and biometric research. Contains chapters written by authors who are leading researchers in biometrics. Presents a comprehensive overview on the internal mechanisms of deep learning. Discusses the latest developments in biometric research. Examines future trends in deep learning and biometric research. Provides extensive references at the end of each chapter to enhance further study.

Four children embark on a quest for a new land at the dawn of human history Africa, two hundred thousand years ago: Suth and Noli were orphaned the night the murderous strangers came, speaking an unfamiliar language and bringing violence to the peaceful Moonhawk tribe. Determined not to die in the desert, Suth and Noli slip away with Ko and Mana. Suth, the eldest, leads them; Noli’s dreams of the future guide them. Ko gives them courage; Mana gives them peace. Their search for a new Good Place, one of food and safety, will take them across the valleys and plains of prehistoric Africa and bring them together as a tribe and as a family.

The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions.

Pieter Hugo (born 1976) has garnered critical acclaim for his series of portraits and landscapes, each of which explores a facet of his native South Africa and neighboring African countries, including the film sets of Nigeria's Nollywood; toxic garbage dumps in Ghana; sites of mass executions in Rwanda; as well as albinos, the Hyena Men of Nigeria, honey collectors and garbage scavengers. Kin, a collection of images shot throughout South Africa over the past decade, focuses instead on the photographer's family, his community and himself. Writer John Mahoney characterizes it as the artist's first major work to focus exclusively on his personal experience in his native South Africa, a place defined by centuries of political, cultural and racial tensions and contradictions. Hugo describes his series as "an engagement with the failure of the South African colonial experiment and my sense of being 'colonial driftwood.' South Africa is such a fractured, schizophrenic, wounded and problematic place ... How does one take responsibility for history, and to what extent should one try? How do you raise a family in such a conflicted society?" This work attempts to address these questions and reflect on the nature of conflicting personal and collective narratives.

In Kind of Kin by award-winning author Rilla Askew, when a church-going, community-loved, family man is caught hiding a barn-full of illegal immigrant workers, he is arrested and sent to prison. This shocking development sends ripples through the town—dividing neighbors, causing riffs amongst his family, and spurring controversy across the state. Using new laws in Oklahoma and Alabama as inspiration, Kind of Kin is a story of self-serving lawmakers and complicated lawbreakers, Christian principle and political scapegoating. Rilla Askew’s funny and poignant novel explores what happens when upstanding people are pushed too far—and how an ad-hoc family, and ultimately, an entire town, will unite to protect its own.