In this video, we will see what is Cost Function, what are the different types of Cost Function in Neural Network, and which ...
Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...
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: Mild Cognitive Impairment (MCI) refers to the intermediate stage between normal brain function and the more severe decline caused by dementia. Alzheimer's Disease (AD) is a significant cause ...
In this study, we propose a novel modularized Quantum Neural Network (mQNN) model tailored to address the binary classification problem on the MNIST dataset. The mQNN organizes input information using ...
Abstract: Although binary neural networks (BNNs) enjoy extreme compression ratios, there are significant accuracy gap compared with full-precision models. Previous works propose various strategies to ...
ABSTRACT: The rapid growth of technology impacts all aspects of modern life, including banking and financial transactions. While these industries benefit significantly from technological advancements, ...