IntroductionAdaGrad (Adaptive Gradient) is an optimization algorithm used in the field of machine learning and deep learning. It was proposed by John Duchi, Elad Hazan, and Yoram Singer in 2011.…
IntroductionComputer vision allows machines to see beyond mere object detection and classification, enabling them to discern between individual objects of the same class.Object detection and segmentation have been experiencing a…
Introduction: Project DescriptionCricket is a strategic game that unfolds on a field between two teams of eleven players each, aiming to outscore each other. It’s the strategy, the uncertainty of…
IntroductionThe success of any machine learning model heavily relies on one critical aspect: data. Quality, quantity, and diversity of data determine the model’s performance, ability to generalize, and robustness against…
IntroductionAn end effector in robotics refers to the device at the end of a robotic arm designed to interact with the environment. The exact nature of this interaction is determined…
IntroductionRecurrent Neural Networks (RNN) by design are intrinsically suited for analyzing sequences of data, such as genomes, time series, text, or even handwriting. In industry, they are found processing sequential…
IntroductionMost of us are surrounded by cameras and audio-visual technologies every day. Whether we are using built-in cameras on our laptops or relying on CCTV to keep business premises safe,…
IntroductionLogistic regression is one of the most commonly used statistical methods for solving classification problems and its aim is to estimate the probability of an event occurring based on the…
IntroductionProjected growth for the global intelligent document processing market is indeed impressive. It’s estimated to reach approximately $5.2 billion by 2027, expanding at an impressive compound annual growth rate (CAGR)…
IntroductionKeras, a popular deep-learning library, has made it simpler than ever to build and train such models. One crucial aspect of the training process is selecting the right loss function…