• Archisman Sarkar
• Kaushik G Viswanath
• Bryan J Samuel
• Ms Abinayaa

The idea behind Deep Learning is to not only to provide automation but to also make humans concur to the fact that the field of Deep Learning is also to reduce human effort and errors to a bare minimum. Machine Learning has become one of the most in-demand fields in modern Information Technology and Computing principles. It also forms the cornerstone of this project undertaken by us. The prospect of working with something new and exciting has provided an opportunity of learning and purpose for us. The desire is to create systems that can provide recursive solutions based on user choices that form part of many modern datasets upon which real-time solutions can be chalked up using enhanced and specialised Deep Learning Algorithms the usual ones being Linear Regression and Logistical Regression. We will create recursive use cases based on these algorithms. We intend to download the datasets and the programs from GitHub Repositories and work on them to create meaningful data models and through their analysis and verification (using manual validation techniques). The constraint being Deep Learning is still very much in its nascent and research stages and this is also more or less a research concept.

"Creation, Analysis, Verification of Deep learning models using multi varying datasets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.414-417, April-2019, Available :http://www.jetir.org/papers/JETIR1904I70.pdf

"Creation, Analysis, Verification of Deep learning models using multi varying datasets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp414-417, April-2019, Available at : http://www.jetir.org/papers/JETIR1904I70.pdf