Deep Challenges Associated with Deep Learning

Abstract

Deep learning is a recent emerging field of research in data science. Deep learning is essentially a combination of artificial intelligence and machine learning. Inspired by brain neurons, this has proven greater flexibility and builds more accurate models compared to machine learning. But making theoretical designs and to perform desired experiments are quite challenging due to many aspects. In the present paper, these challenges have been discussed to provide researchers a clear vision for the futuristic research in the field of deep learning.