This post aims to give a thorough overview of the current state and future prospects of interpretability and explainability in deep learning, making it a valuable resource for students, researchers,…
Biomedical image analysis The success of deep learning in image analysis has encouraged the biomedical imaging researchers to investigate its potential in analyzing various medical modalities to aid clinicians in…
What is covered? Types of optimizers and learning ratesKeras callbacks and checkpoints like early stopping, adjusting learning rates, etc. Types of optimizers and adaptive learning methods Optimizers In neural networks…
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…