This book introduces neural mechanisms of biological vision and how artificial intelligence algorithms learn to interpret images.
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Gabriel Kreiman is a professor at the Center for Brains, Minds, and Machines and the Children's Hospital at Harvard Medical School. Awards received by Prof. Kreiman include: the National Institute of Health (NIH) New Innovator Award, National Science Foundation (NSF) Career Award, Pisart Award for Vision Resarch, and McKnight Foundation Research Award.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing visual systems. Vision applications are pervasive from smartphones that recognize faces to automatic analysis of clinical images. This book bridges neuroscience, cognitive science, computer science, and artificial intelligence to explain neural mechanisms of biological vision and how artificial intelligence computer vision systems work. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781108483438
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Gebunden. Etat : New. Vision applications are pervasive from smartphones that recognize faces to automatic analysis of clinical images. This book bridges neuroscience, cognitive science, computer science, and artificial intelligence to explain neural mechanisms of biological vis. N° de réf. du vendeur 400013214
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