Fundamentals of Deep Learning

Deep learning has profoundly impacted many areas of machine learning. However, it took a while for its impact to be felt in the field of recommender systems. The increasingly sophisticated field of artificial intelligence (AI) has grown and spawned several disciplines that deserve their own focused consideration, namely machine learning (ML) and the ML subset "deep learning." As it sounds, deep learning is the process of leveraging data analytics and the latest gains in computing power to enable computers to observe, learn, and respond to relatively complex situations faster than humans can This book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research that is paving the way for modern machine learning. This book uses exposition and examples to help you understand major concepts in this complicated field. Large companies such as Google, Microsoft, and Facebook have taken notice and are actively growing in-house deep learning teams.

Autorentext

1Dr.N.Deepa,Associate Professor, 2Dr.T.Devi, Assistant Professor (SG), Department of CSE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Science Thandalam, Chennai-602105,Tamil Nadu,India 3Dr.S.Gopalakrishnan, Professor, Department of ECE,Siddhartha Institute of Technology and Sciences,Hyderabad, Telangana -500088,India