Deep learning uses multi-layer neural networks for complex pattern-recognition tasks. It is especially relevant to areas such as computer vision, speech and natural language processing. For an MCA learner, the best way to understand deep learning is to connect the theory with a small working example. This point is specifically relevant to the deep learning aspect of MCA study. For this specific question about deep learning, the practical takeaway is to relate the concept to your own MCA learning goal.