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• Pooling Layers: In Convolutional Neural Networks (CNNs), pooling layers are used to reduce the spatial dimensions (width and height) of the input volume, while keeping the depth constant. Pooling layers operate independently on each depth slice of the inpu ... Read More >>
• Model Evaluation: Model evaluation is the process of assessing the performance of a machine learning model on a given dataset. It involves measuring the accuracy, precision, recall, F1 score, and other metrics to determine how well the model is performing. M ... Read More >>
• Generalized Linear Models: Generalized Linear Models (GLMs) are a class of statistical models that allow for the analysis of data with non-normal distributions, such as binary, count, or skewed data. GLMs extend the linear regression model by allowing the response va ... Read More >>