Advancements in Fairness Research for Image Recognition

Advancements in Fairness Research for Image Recognition

This is the664th original article. Your attention is the greatest encouragement for us! Keywords: fairness, bias, debiasing learning, image recognition, deep learning Algorithmic fairness is one of the important themes in the benevolent development of artificial intelligence and a key component of trustworthy AI. Establishing reasonable models to ensure unbiased algorithmic decision-making is a necessary … Read more

5-Minute NLP: Introduction to Hugging Face Classes and Functions

5-Minute NLP: Introduction to Hugging Face Classes and Functions

Source: Deephub Imba This article is approximately 2200 words long and is recommended for a 9-minute read. It includes an overview of its main classes and functions along with some code examples. It can serve as an introductory tutorial for this library. Mainly includes Pipeline, Datasets, Metrics, and AutoClasses Hugging Face is a very popular … Read more

Huggingface Datasets: A Powerful AI Training Database

Huggingface Datasets: A Powerful AI Training Database

Every time I start a new machine learning project, the first thing that gives me a headache is not model selection, but the dataset. Downloading datasets, unzipping, cleaning, formatting—a series of steps makes me feel like I’m facing a “programmer’s physical labor” challenge. And once the dataset is too large to load into memory all … Read more

Getting Started with Hugging Face

Getting Started with Hugging Face

This Article Covers The main contents of this article include: What is Hugging Face and what does it offer Using Hugging Face models (Transformers library) Using Hugging Face datasets (Datasets library) Introduction to Hugging Face Similar to GitHub, Hugging Face is a hub (community). It can be considered the GitHub of the machine learning world. … Read more