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This video describes ResNet, a specialized Convolutional Neural Network (CNN) architecture designed to improve deep learning for image recognition. Developed in 2015, this model utilizes skip connections to bypass certain layers, which helps resolve the vanishing gradient problem that often hinders very deep networks. The architecture is ...
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