Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
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Activation functions in neural networks: Types and examples
In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why ...
Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
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Python neural network for multiclass classification using softmax
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
Abstract: Movie genre classification is essential for organizing cinematic content, improving recommendation systems, and supporting market analysis. Unimodal approaches relying solely on plot ...
Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.
This project demonstrates image classification using Convolutional Neural Networks (CNNs) in Python with TensorFlow and Keras, trained and tested on the CIFAR-10 dataset. The CIFAR-10 dataset consists ...
On June 11, 2025, Vanguard filed an application with the U.S. Securities and Exchange Commission for a multi-class active ETF structure. The filing requests approval of a structure where Vanguard can ...
Major depressive disorder (MDD) is one of the most common mental disorders, with significant impacts on many daily activities and quality of life. It stands as one of the most common mental disorders ...
Abstract: Semantic segmentation is a fundamental task in computer vision. In multi-class scenarios, the abundance of categories, feature similarity across classes, class imbalance, and the complexity ...
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