He initialization in Deep Learning

Table of ContentsIntroductionWeight initializationThe Problem of Poor InitializationThe Intuition behind He InitializationBenefits of He InitializationFaster ConvergenceImproved PerformanceRobustnessWidely ApplicableFacilitating Deep ArchitecturesPractical ImplementationConclusionIntroduction

He initialization, also known as Kaiming Initialization, is a widely used technique in deep learning for initializing the weights of neural networks. It was introduced by Kaiming He et al....