Multiclass classification has been utilized to classify different languages for various purposes. In this research, a multiclass classification for the Urdu language was performed using a text dataset ...

This repository contains latest version of the codebase related to my master's thesis titled "Land cover classification from multispectral ... Properly configured GPU doesn't hurt either. Anaconda ...

A collection of Python scripts demonstrating how to run various AI tasks locally using models from the Hugging Face Hub and the transformers library (along with related libraries like datasets, ...

In recent years, the rapid evolution of deep learning technology has been applied to various machine vision tasks such as classification, detection, denoising, and super-resolution. In this study, a ...

Hands-on coding of a multiclass neural network from scratch, with softmax and one-hot encoding. #Softmax #MulticlassClassification #PythonAI Trump announces two new national holidays, including on ...

To compare the performance of different models, we use evaluation metrics such as The code listing below ... is generally considered good for multi-class text classification.