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Answer Posted / Mohit Kumar Sharma
Model capacity refers to the ability of a neural network to learn and fit complex patterns from the training data. It depends on factors such as the number of layers, the number of neurons in each layer, and the complexity of the activation functions used. A model with high capacity can approximate more complex functions but is also more prone to overfitting.
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