CNNs, short for Convolutional Neural Networks, are deep learning tools built to analyse visual data such as photos and graphics. It is a brain-inspired system that recognises patterns and features in ...

This repository is designed to explore and implement adaptive parametric activation functions to increase the performance of convolutional neural networks especially on long-tailed datasets where the ...

Understanding how to use non-standard activation functions allows you to customize a neural network system. A neural network loosely models biological synapses and neurons. Neural network (NN) ...

Activation Layers: These layers apply a non-linear function to the output of the convolutional layers, introducing non-linearity to the network and helping it learn complex patterns.

Melanoma is the deadliest form of skin cancer, which is considered one of the most common human malignancies in the world. Early detection of this disease can affect the result of the illness and ...

Convolutional Neural Network (CNN) from Scratch This project implements a Convolutional Neural Network (CNN) from scratch using only fundamental libraries like numpy. The network is trained and tested ...