What tools are commonly used for deep learning?

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. This makes deep learning more valuable when it is supported by hands-on practice and a clear explanation of what you built. 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.