Categories: AI/ML Research

Manipulating Tensors in PyTorch

Last Updated on January 23, 2023 PyTorch is a deep learning library. Just like some other deep learning libraries, it applies operations on numerical arrays called **tensors**. In the simplest terms, tensors are just multidimensional arrays. When we are dealing with the tensors, there are some operations that are used very often. In PyTorch, there […]

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Training a PyTorch Model with DataLoader and Dataset

When you build and train a PyTorch deep learning model, you can provide the training data in several different ways. Ultimately, a PyTorch model works like a function that takes a PyTorch tensor and returns you another tensor. You have a lot of freedom in how to get the input…

February 24, 2023

In "AI/ML Research"

NumPy Ninjutsu: Mastering Array Operations for High-Performance Machine Learning

Machine learning workflows typically involve plenty of numerical computations in the form of mathematical and algebraic operations upon data stored as large vectors, matrices, or even tensors — matrix counterparts with three or more dimensions.

June 5, 2025

In "AI/ML Research"