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                       Book Publishment






                  DEEP LEARNING ARCHITECTURES -NEURAL


                 NETWORKS AND DEEP LEARNING MODELS


       Author & Editor by : Mr. Chandra Prakash Singar


      Mr. Chandra Prakash Singar is Assistant Professor in the Department of
      Information Technology at Shri G.S. Institute of Technology & Science,
      Indore M.P.INDIA. He is submitted Ph.D from Maulana Azad National
      Institute of Technology (MANIT) Bhopal. He received his M.Tech degree
      from  Motilal  Nehru  National  Institute  of  Technology  (MNNIT)

      Allahabad.  He  completed  B.Tech  from  University  Institute  of
      Technology, RGPV BHOPAL. Mr. Singar has been teaching UG and PG
      courses for more than 16 years. He has more than 8 years experience in
      the field of information security. He has various publications in reputed
      international  journals.  He  received  2  patents  grants  and  1  published
      patent. His research interests include. Machine learning, Information
      security, IOT applications.



       Content of the Book:-


      This book provides a thorough and detailed overview to neural
      network and deep learning architectures. The material covers

      basic principles, ranging from linear algebra and probability
      theory to crucial optimization methods required for training
      deep  models.  The  book  explores  many  neural  network

      architectures, such as convolutional and recurrent networks,
      as  well  as  advanced  subjects  like  generative  models  and
      unsupervised learning. The focus is on practical applications,
      using real-world examples and case studies to demonstrate
      fundamental  ideas.  The  book  also  discusses  issues  like  as

      overfitting, offering solutions for efficient model regularization
      and optimization to enhance performance and generalization.
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