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This book offers a comprehensive introduction to the central ideas that underpin Deep Learning. It is intended both for
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This book provides a conceptual understanding of Deep Learning algorithms. The book consists of the four parts: foundati
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This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face
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This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEE
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The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learn
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This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced
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Key Features Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games See how
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Build deep learning and computer vision systems using Python, TensorFlow, Keras, OpenCV, and more, right within the fami
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This book aims to unravel the complex tapestry that interweaves strategic decision-making models with the forefront of d
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