This book aims to bridge the gap between theoretical deep learning concepts and their practical implementation. It provides a comprehensive guide for individuals and organizations looking to leverage deep learning for real-world problems.
Here are the primary purposes of reading this book:
Practical Guidance: The book offers hands-on advice on how to build and deploy deep learning models in various domains, such as computer vision, natural language processing, and time series analysis.
Real-World Challenges: It addresses the challenges and limitations that arise when applying deep learning to real-world data, such as data quality issues, overfitting, and computational costs.
Case Studies: Through case studies, the book demonstrates how deep learning has been successfully applied to solve complex problems in different industries, providing valuable insights and inspiration.
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S.INDUMATHI, K.G.CHITHRA, S.UMA
Ms.S.Indumathi is currently working as a Assistant Professor in the department of Computer Science and Engineering at Vivekanandha College of Engineering for Women (Autonomous), Tiruchengode, Namakkal (D.t) Tamilnadu.
Mrs.K.G.Chithra is currently working as a Assistant Professor in the department of Computer Science and Engineering at Vivekanandha College of Engineering for Women (Autonomous), Tiruchengode, Namakkal (D.t) Tamilnadu.
Mrs.S.Uma is currently working as a Assistant Professor in the department of Computer Science and Engineering at Vivekanandha College of Engineering for Women (Autonomous), Tiruchengode, Namakkal (D.t) Tamilnadu.
