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Neural Networks and Deep Learning: A Textbook 1st Edition Charu C. Aggarwal, ISBN-13: 978-3319944623
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"Neural Networks and Deep Learning: A Textbook" by Charu C. Aggarwal provides a comprehensive introduction to the foundational concepts and techniques in neural networks and deep learning. The book covers essential topics such as the anatomy of neural networks, various architectures (including convolutional and recurrent networks), training methodologies, and practical applications in real-world scenarios. It emphasizes both theoretical underpinnings and practical implementations, making it an invaluable resource for students and practitioners looking to understand the principles and advancements in the field of deep learning.
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Title: Neural Networks and Deep Learning: A Textbook
Author: Charu C. Aggarwal
Edition: 1st
ISBN-13: 978-3319944623
Publisher: Springer
Publication Year: 2018
Pages: 443
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"Neural Networks and Deep Learning: A Textbook" by Charu C. Aggarwal offers a comprehensive and insightful exploration of the foundational concepts and advanced techniques in neural networks and deep learning. Its structured approach, combining theoretical underpinnings with practical applications, makes it suitable for both beginners and experienced practitioners in the field. The inclusion of real-world examples and case studies enhances its relevance, while the emphasis on contemporary developments ensures that readers are well-equipped to navigate the rapidly evolving landscape of artificial intelligence. Overall, this textbook serves as an invaluable resource for anyone looking to deepen their understanding of neural networks and their impact on modern technology.
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