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Performs better than most of the other ResNet variants
The model will easily fit in 8GB GPU/Google Colab/Kaggle Notebooks Review collected by and hosted on G2.com.
Vanishing gradient is a major problem in residual networks. This gives NaN as an output
It overfits when the resolution of the image is small. Pooling needs to be adjusted Review collected by and hosted on G2.com.
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