Residual Neural Networks
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COMPUTER SCIENCE
Artificial Intelligence
Residual Neural Networks
Residual Neural Networks revolutionized image recognition by enabling ultra-deep learning architectures
21 Jan 2026
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What is the primary purpose of the skip connections in residual neural networks?
To allow layers to learn residual functions and help mitigate the vanishing gradient problem
To increase the number of parameters in the network for better performance
To reduce the computational cost by skipping certain layers during training
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