Understanding Overfitting in ConvNets
Analytics Vidhya
APRIL 15, 2024
Introduction Overfitting in ConvNets is a challenge in deep learning and neural networks, where a model learns too much from training data, leading to poor performance on new data. This phenomenon is especially prevalent in complex neural architectures, which can model intricate relationships.
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