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What is Loss Functions: MSE & Cross Entropy about?

The document discusses two commonly used loss functions: Mean Square Error (MSE) for regression and Cross Entropy Loss for classification. It explains how to calculate MSE for single and multiple samples, including the gradient estimation for backpropagation. Additionally, it emphasizes the importance of performing backpropagation in batches to optimize training efficiency.

Author

csa.exam

Language

EN