Central Limit Theorem

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• M49: Data augmentation is a technique used in machine learning and deep learning to increase the size of the training set by creating modified versions of the original data. This is done by applying various transformations such as rotation, scal ... Read More >>
• Method Overriding: Method Overriding is a feature of object-oriented programming that allows a subclass or child class to provide a specific implementation of a method that is already provided by its parent class or superclass. In other words, when a method i ... Read More >>
• Batch Size: Batch size refers to the number of training examples utilized in one iteration. In other words, batch size is the number of samples that will be propagated through the neural network during a single forward/backward pass. The batch size is ... Read More >>