• Dr.N.Sujatha
• Latha Narayanan Valli

: Deep learning has grown significantly in scientific computing over the past few years, and businesses that handle complicated problems frequently use its techniques. Different kinds of neural networks are used by all deep learning algorithms to carry out particular tasks. Deep learning techniques, a subtype of machine learning[2], are becoming more important for precise outcomes in speech recognition, object recognition, and image segmentation. Deep learning offers adaptable techniques for handling and evaluating large amounts of data. The goal of the work is to compare approaches, research issues, and trends while surveying a variety of deep learning algorithms[4][2] employed in evolving research. The purpose is to clarify these algorithms' application in Big Data is necessary.

Deep Learning, Machine Learning, Neural Network, Convolution Neural Network, NLP.

"Deep Learning Algorithms – A Case Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 12, page no.a528-a530, December-2022, Available :http://www.jetir.org/papers/JETIR2212059.pdf

"Deep Learning Algorithms – A Case Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 12, page no. ppa528-a530, December-2022, Available at : http://www.jetir.org/papers/JETIR2212059.pdf