Concept
Tensor computation is a fundamental operation in machine learning and scientific computing that involves the manipulation of multi-dimensional arrays, known as tensors. It enables efficient processing of large datasets by leveraging optimized linear algebra operations, crucial for tasks such as deep learning model training and inference.
Relevant Degrees
3