• Yawar Rasool Mir
• Navneet Kaur Sandhu

Deep learning (DL) today is being used for various real world problems such as cancer diagnosis, precision medicine, self-driving cars, predictive forecasting and speech recognition. DL can overcome the limitations of earlier shallow networks that prevented efficient training and abstractions of hierarchical representations of multi-dimensional training data The review covers different types of deep architectures, such as deep convolution networks, deep residual networks, recurrent neural networks and others. The review also covers one important application of deep learning for Image Recognition.

Deep Learning, Convolution Neural Network, Recurrent neural networks.

"A Review on Deep Learning Architectures and Applications: Image Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.911-917, June-2019, Available :http://www.jetir.org/papers/JETIR1906912.pdf

"A Review on Deep Learning Architectures and Applications: Image Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp911-917, June-2019, Available at : http://www.jetir.org/papers/JETIR1906912.pdf