Which CNN architecture is known for its residual connections and improved training performance?
- LeNet
- VGGNet
- AlexNet
- ResNet
Residual Networks (ResNets) are known for their residual connections, which allow for easier training of very deep networks. ResNets have become a standard in deep learning due to their ability to mitigate the vanishing gradient problem, enabling the training of much deeper architectures.
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