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ISBN-13: 9781032391663, 978-1032391663. Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing. Provides easily accessible tutorials and real-world case studies with code to provide hands-on experience.
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Deep Learning With Python - 2nd Edition (paperback)
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This book will help readers to apply deep learning algorithms in R using advanced examples. You will cover variants of neural network models such as ANN, CNN, RNN, LSTM, and more using expert techniques.
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ISBN-13: 9781718500747, 978-1718500747. Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. Practical Deep Learning A Python-Based Introduction.
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The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear.
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ISBN-13: 9781107661363, 978-1107661363. Deep Learning. Although the ability to retain, process, and project prior experience onto future situations is indispensable, the human mind also possesses the ability to override experience and adapt to changing circumstances.
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