"Hands-On Deep Learning: From Beginner to Advanced with TensorFlow" is a comprehensive guide that takes readers on a journey through the world of deep learning. The book covers fundamental concepts, practical implementations, and advanced techniques using TensorFlow, one of the most powerful and popular deep learning frameworks. With a focus on hands-on projects and real-world applications, this book is designed for students, researchers, and professionals who want to master deep learning from the ground up. Topics include neural networks, convolutional neural networks, recurrent neural networks, reinforcement learning, hyperparameter tuning, model optimization, and deployment strategies, along with practical case studies and future trends in the field.
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Jestem adiunktem w dziedzinie in¿ynierii l¿dowej z solidnym do¿wiadczeniem w in¿ynierii strukturalnej, posiadam tytu¿ licencjata i magistra in¿yniera na Uniwersytecie Maharshi Dayanand oraz doktorat koncentruj¿cy si¿ na modelowaniu predykcyjnym opartym na ML w celu optymalizacji betonu. W ci¿gu ponad czterech lat badä opublikowäem 20 artyku¿ów w takich dziedzinach, jak optymalizacja strukturalna i maszyny
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Taschenbuch. Zustand: Neu. Neuware -'Hands-On Deep Learning: From Beginner to Advanced with TensorFlow' is a comprehensive guide that takes readers on a journey through the world of deep learning. The book covers fundamental concepts, practical implementations, and advanced techniques using TensorFlow, one of the most powerful and popular deep learning frameworks. With a focus on hands-on projects and real-world applications, this book is designed for students, researchers, and professionals who want to master deep learning from the ground up. Topics include neural networks, convolutional neural networks, recurrent neural networks, reinforcement learning, hyperparameter tuning, model optimization, and deployment strategies, along with practical case studies and future trends in the field.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch. Artikel-Nr. 9786207808083
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