• Divya P
• Aiswarya VB

Nowadays deep learning is the present field of machine learning. The learning approach of deep learning is very supervised effective, time and cost effective time method in machine learning. This approach is not restricted but it accepts various procedures and topographies which can be applied to an immense number of difficult problems .In a very stratified way this technique learns the illustrative and differential features.Deep learning methods have made a important breakthrough with appreciable performance in a wide variety of applications with useful security tools.This technique considered to be the best choice for finding complex architecture in high-dimensional data by adding back propagation algorithm .This paper approaches to various technique and application of deep learning.

Deep learning, Convolutional neural networks, RNNs, Generative Adversarial Networks, Deep Reinforcement Learning, Boltzmann Machines, Applications.

"DEEP LEARNING: TECHNIQUES AND APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.a125-a129, July-2021, Available :http://www.jetir.org/papers/JETIR2107018.pdf

"DEEP LEARNING: TECHNIQUES AND APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppa125-a129, July-2021, Available at : http://www.jetir.org/papers/JETIR2107018.pdf