THEORY AND APPLICATIONS IN DEEP LEARNING

Dr. Shashi · Rashi Rastogi · Renato Racelis Maaliw III · Dr. Ashok Kumar

abr. de 2023 · Xoffencerpublication

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Deep learning is a subfield of computer science that is currently focusing the majority of its attention on the areas of video, picture, text, and speech recognition, in addition to autonomous driving, robotics, healthcare, and other areas. This is in addition to other areas such as robotics and healthcare. Academics and academicians are currently showing a significant amount of interest in the field of deep learning. This is because it is a subfield of study that focuses a significant emphasis on achieving outcomes, which explains why this is the case. Rina Dechter was the first person to use the phrase "deep learning" in 1986, and the building of an intelligent computer that could emulate the functioning of the human brain was the driving force behind the expansion of this field of study. The term "deep learning" was coined by Rina Dechter, who was also the first person to use the term. The human brain, which is in charge of decision-making, is the most important organ in the body. In order for the brain to arrive at its conclusions, it takes in data through its five senses: sight, smell, touch, and hearing. Memory is another item that is stored in the brain, and it is this memory that may be used to solve complicated problems by drawing on experiences that have been gained in the past. Throughout the course of the past few decades, scientists have kept alive the dream that they may one day be able to design a computer with intellect comparable to that of our own brains. In order to make progress towards achieving this goal, they have initiated research into the fundamental make-up and operation of the human brain. One of the primary motivations behind the development of autonomous vehicles as well as robots that are capable of performing a variety of functions is the reduction in the number of collisions that take place along roadways. This can be accomplished through the use of robots that are multi-functional. Because it is estimated by the World Health Organization (WHO) that 1.35 million people lose their lives on the roads of the world each year, and since it is estimated that more than 90 percent of those deaths are the result of human errors that could have been avoided.

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Dr. Shashi is Assistant Professor in Department of Computer Application, Chaudhary Charan Singh University (Campus), Meerut. She constantly proved excellence in teaching and all academic work. She is having 15 Years teaching experience. She has handled many subjects for UG and PG students. She has supervised more than 90 projects PG Level. She has organized many Workshops, Seminars both International level and National level. She is expertise in Computer Network , Cloud Computing and Digital Electronics etc. She has published more than 10 research papers and articles in reputed journals. She has also been co-coordinator for college Affiliations like NAAC, AICTE etc. She is Head of Department. She has a member of 3 Board of Studies in university Meerut. She is a member of IAENG

Rashi Rastogi received her Master’s degree from the CCS University, Meerut in 2008 and pursuing a Ph.D. in computer science. She had a rich experience of approx. fourteen years in teaching. She is currently working as an Assistant Professor at CCS University, Meerut. She has taught courses in computer science at both the undergraduate and graduate level for over 13 years. She has also taught courses in Artificial Intelligence, Database Management System, Computer Networking, and Computer Organization and Architecture.

Renato Racelis Maaliw III is an Associate Professor and currently the Dean of the College of Engineering in Southern Luzon State University, Lucban, Quezon, Philippines. He has a doctorate degree in Information Technology with specialization in Machine Learning, a Master's degree in Information Technology with specialization in Web Technologies, and a Bachelor’s degree in Computer Engineering. His area of interest is in artificial intelligence, computer engineering, web technologies, software engineering, data mining, machine learning, and analytics. He has published original researches, a multiple time best paper awardee for various IEEE sanctioned conferences; served as technical program committee for world-class conferences, author, editor and peer reviewer for reputable high-impact research journals.

Dr. Ashok Kumar working as an Assistant Professor in the Department of Computer Science, Banasthali Vidyapith, Banasthali-304022 (Rajasthan), has about 14 years of teaching experience. He received his M.C.A. degree from GJU University, M.Phil. degree in Computer Science from CDLU University and Ph.D. degree in Computer Science from Banasthali Vidyapith. He has more than 25 research papers in refereed international journals, conferences and three patents in his credit. His areas of research include Image Processing, Machine Learning and Big Data Analytics

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