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The document discusses various cost functions related to neural networks, particularly focusing on perceptron and softmax cost functions. It also covers margin-based cost functions and support vector machine (SVM) error calculations, distinguishing between hard and soft margin SVM cost functions. The repetition of key terms suggests an in-depth examination of these cost functions and their applications in machine learning.


















