Answer / Man Mohan Gupta

Several factors have contributed to the success and recent rise of deep learning: 1) Availability of large datasets: The increase in the amount and accessibility of data has allowed deep learning models to be trained on a much larger scale than before. 2) Advances in computing power: The rapid progress in computational hardware, such as GPUs and TPUs, has made it possible to train deep neural networks on large datasets more efficiently. 3) Development of effective optimization algorithms: Researchers have developed new optimization techniques like Adam and RMSProp, which help deep learning models converge faster and more reliably.

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