Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

ABSTRACT: This paper deals with three traditional measures of concentration: (Corrado) Gini coefficient, adjusted Gini coefficient, and AUC. These metrics are popular methods in assessing the ...

A public API for HNG Stage 1 task that classifies a given number by identifying its mathematical properties (prime, perfect, Armstrong, parity, digit sum) and retrieves a fun fact using the Numbers ...

A complete, straightforward digit classification project built with PyTorch, featuring CNN-based training, evaluation metrics, confusion matrix visualization, and XAI using Grad-CAM. A Simple MNIST ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Abstract: Although small drones provide significant convenience through various applications, their widespread use poses a major threat to public safety, particularly when operated without ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...

Abstract: Shifts in data distribution across time can strongly affect early classification of time-series data. When decoding behavior from neural activity, early detection of behavior may help in ...