Published inHeartbeatExploring Sign Language Recognition techniques with Machine LearningUnderstanding Indian Sign Language recognition and its Techniques with a Focus on the State-of-the-Art hierarchical neural network approachJan 14, 20211Jan 14, 20211
Published inHeartbeatIntroduction to Graph Neural NetworksGraph neural networks — their need, real-world applications, and basic architecture with the NetworkX libraryOct 28, 2020Oct 28, 2020
Published inHeartbeatSemantic Image Inpainting with Context EncodersUnderstanding Image Inpainting and its TechniquesOct 20, 20201Oct 20, 20201
Published inHeartbeatExploring Optimizers in Machine LearningA guide to the widely used Optimizer functions, and a breakdown of their benefits and limitationsSep 29, 2020Sep 29, 2020
Published inHeartbeatImage Super-Resolution Using Generative Adversarial NetworksExploring image super-resolution techniques with focus on the state-of-the-art GAN-based approachSep 9, 2020Sep 9, 2020
Published inHeartbeatExploring Activation and Loss Functions in Machine LearningA guide to the most frequently used activation and loss functions, and a breakdown of their benefits and limitationsAug 11, 2020Aug 11, 2020
Published inHeartbeatA Guide to Ensemble LearningEnsemble learning: Need, benefits and detailed coverage of bagging, boosting, and stackingJun 15, 2020Jun 15, 2020
Published inHeartbeatUnderstanding the Mathematics behind Linear Regression Part IIExploring linear regression: Mathematical foundations and benefits and limitationsMay 29, 20202May 29, 20202
Published inHeartbeatSpam Filtering using Bag-of-WordsGuide to building your own spam filter in PythonMay 12, 2020May 12, 2020
Published inHeartbeatUnderstanding the Mathematics Behind Linear Regression (Part 1)Exploring regression and feature engineering on the facebook-comment-prediction datasetMay 6, 20201May 6, 20201