Publication Details The paper is published in the journal of ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) in 2020: click here Abstract Most of the analysis requires nuclei…
Convolution Neural Network OverviewConvolution layerActivation layerPooling layer Overview Among the various deep learning models such as stacked auto-encoders [1], deep Boltzmann machines [2], deep conventional extreme learning machines [3], deep…
What is covered? IntroductionPerceptronNeural networkActivation functionLoss functionGradient descentSummaryRecommended resources Prologue Deep learning is a form of machine learning that uses a model of computing that mimics the structure of the…
In a word, it was an AMAZING! experience About HLF Heidelberg Laureate Forum is an international platform that offers young minds to interact with great Laureates in the field of…
Purpose TensorFlow is an open source library that helps you to build machine learning and deep learning models. It is widely utilized library among researchers and organizations to smart applications.…
Publication Details The paper is published in the International Conference on Big Data Analytics 2018. For more details: click here Highlights A novel concept drift detection algorithm is proposed.Achieved significant…