Tensors Explained - Data Structures of Deep Learning

The inputs, outputs, and transformations within neural networks are all represented using tensors, and as a result, neural network programming utilizes tensors heavily. The concept of a tensor is a mathematical generalization of other more specific concepts. Let's look at some specific instances of tensors. Let's organize the above list of example tensors into two groups: The first group of three terms (number, array, 2d-array) are terms that are typically used in computer science, while the second group (scalar, vector, matrix) are terms that are typically used in mathematics. We often see this kind of thing where different areas of study use different words for the same concept.