✳flâneur — a map of the web's best reading

The Tensor: The fundamental data structure of ML - DEV Community

dev.to · 1,291 words · saved by 1 readers

In the field of computing, data is crucial and the way we store it is vital. Data structures are a means of organizing and storing data within a program, making it possible to manipulate the data using algorithms. As a web developer, you may be familiar with the data structure known as the array, but in the field of machine learning, a crucial data structure is the tensor. Tensors are multi-dimensional arrays that can store and manipulate large amounts of data, making them essential for deep learning algorithms like neural networks, which rely on them to perform complex mathematical operations and achieve desired results. In many ways, a tensor is similar to an array - in fact, an array can be thought of as a type of tensor. However, a tensor is a multidimensional data structure where all values in it share the same type. Tensors can be categorized by their ranks, which represent the number of dimensions in the tensor. Additionally, an important attribute of a tensor is its shape, whic

In the field of computing, data is crucial and the way we store it is vital. Data structures are a means of organizing and storing data within a program, making it possible to manipulate the data using algorithms. As a web developer, you may be familiar with the data structure known as the array, but in the field of machine learning, a crucial data structure is the tensor. Tensors are multi-dimensional arrays that can store and manipulate large amounts of data, making them essential for deep learning algorithms like neural networks , which rely on them to perform complex mathematical operation

Explore this link on the map →

related reading