GAN stands for generative adversarial network. It is a type of a CNN neural network architecture in which two types of CNN neural networks compete against each other. In a GAN network architecture there are typically one or more generator neural networks and one ore more discriminator neural networks. The generator network performs continuous iterations, ... Read more
A "good fit" or "best fit" or "sweet spot" is when a machine learning (ML) model can predict values for a system with the minimum error, ideally that error being zero. In this case, the ML model is said to have a good fit on the data. The good fit sits between the underfitting and ... Read more
Graphics Processing Units (GPUs) have been traditionally used in computing systems for image processing (graphics cards). Their usage has largely been expanded to AI and ML tasks and are largely used for optimizing performance of neural networks.
Gradient descent is a method of minimizing the machine learning model cost function in linear regression models. In the gradient descent method, the (internal) parameters of the ML model are tuned over several training iterations by taking gradual "steps" down a slope in the function graph, aiming towards a minimum error value. The following methods ... Read more
Ground truth is a term commonly used in statistics and machine learning. It signifies the correct or “true” answer to a specific problem or question. Each ML model makes predictions to values or boolean classifications about a problem. Each time the ML model's prediction or classification is compared to the ground truth, which is what ... Read more
