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…
What is covered? OverviewImporting librariesLoading the MNIST datasetPreprocessingLoading the trained modelEvaluationModel visualizationFilter visualizationClass activation mapLIMEConclusion Overview Unlike machine learning models, the deep learning models lack transparency in the decision making…
Publication details The paper is published in the journal of Springer Applied Intelligence in 2020: click here. Abstract The novel coronavirus 2019 (COVID-19) is a respiratory syndrome that resembles pneumonia.…
What is covered? OverviewDatasetImporting the librariesLoading the datasetSetting data shapeOne hot encodingBuilding and compiling the modelCallbacksTraining and visualizing the modelVisualize model output Overview This post covers the development of handwritten…
What is covered? Overfitting and underfittingRegularizationDropoutVanishing and exploding gradientWeights intialization Overfitting and underfitting During training, a neural network undergoes many epochs (may be more than 100 or 500) to learn…
Publication details The paper is published in the journal of Springer Multimedia Tools and Application in 2020: click here. Abstract For any radiologist, identification and segmentation of brain tumor (gliomas)…
What is covered? OverviewInstalling python in windows sub-system (Ubuntu 16.04)Installing Apache spark in windows sub-system (Ubuntu 16.04)Master/Slave configurationStart spark clusterStop spark clusterTest the cluster setup Overview Windows 10 offers an…
Publication details The paper is available in the medRxiv pre-print server since 2020. For more details click here. Highlights The article investigates the COVID-19 outbreak by analyzing the exponential growth…
Publication Details The paper is published in the International Conference on Contemporary Computing (IC3) in 2019. For more details click here. Highlights A Faster RCNN based object detection model is…
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…