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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
"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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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
"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.