Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why ...
Abstract: Owing to the superior performances, exemplar-based methods with knowledge distillation (KD) are widely applied in class incremental learning (CIL). However, it suffers from two drawbacks: 1) ...
This repository contains a Python package that implements the k-Nearest Neighbors (k-NN) algorithm for classifying Iris flowers into three species: setosa, versicolor, and virginica. The package uses ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
Abstract: Softmax serves as the final classification layer in deep neural networks. As the speed of other layers in deep neural networks continues to improve, there is a growing need for f lexible and ...