https://ift.tt/VlOSscB Introduction Overfitting in ConvNets is a challenge in deep learning and neural networks, where a model learns too m...
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. Addressing overfitting in convnet is crucial for building reliable neural network models. […]
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