In this video, we will understand Residual Neural Networks (ResNets) fundamentals and visualize their layers/architecture in Tensorspace.JS.
ResNet is a powerful CNN that won the ImageNet challenge in 2015.
ResNet contains 150+ layers and can overcome the problem of vanishing gradients.
As CNNs grow deeper, vanishing gradient tend to occur which negatively impact network performance.
Vanishing gradient problem occurs when the gradient is back-propagated to earlier layers which results in a very small gradient.
ResNets include “skip connection” feature which enables training of multiple deep layers (152 layers) without vanishing gradient issues.
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Thanks and see you in future videos!
#resnet #residualneuralnetwork
