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. Students can judge their progress in deep learning by solving problems independently instead of depending entirely on guided tutorials. 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.