Distributed Deep Learning with Elephas
This posts follow from the setup of the master slave cluster using Apache Spark (here) Considering your Spark environment is ready, we can make use of Elephas library to develop…
Biomedical image analysis: Segmentation, datasets, metrics and loss functions
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…
Attended International Joint Conference on Neural Networks (IJCNN) 2021
About In this post, I will talk about my experience in attending the International Joint Conference on Neural Networks (IJCNN) 2021 organized by the International Neural Network Society. It is…
Optimizers, Learning Rates and Callbacks
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…
Visualizing Deep Learning: Filter, Class Activation Maps and LIME
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…
Automated Diagnosis of COVID-19 with Limited Posteroanteriorchest X-ray Images using Fine-tuned Deep Neural Networks
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.…
Building First CNN Model
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…
Overview of Deep Learning Basics – III
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…
Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation
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)…
Master-Slave Setup using Apache Spark on Windows 10 with Ubuntu Subsystem
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…