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"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…mehr

Produktbeschreibung
"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.
Autorenporträt
Dr. Rupesh Kumar, a professor at K R Mangalam University, specializes in optimization and AI. With 10+ years of experience, he has published extensively and led research projects in engineering design and smart grid management. An accomplished educator, he has authored several books and actively contributes to professional organizations.