Using Tensors

The advent of deep learning has revolutionized the field of artificial intelligence, allowing machines to process vast amounts of data and solve problems that were once considered too complex. As models grew larger and datasets more expansive, the computational demands of training deep learning models began to outpace the capabilities of traditional computing systems. This challenge gave rise to the need for parallel computing—a method where multiple calculations are carried out simultaneously across different processors.