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  • Kanojia, Gagan; Kumawat, Sudhakar; Raman, Shanmuganathan (Cornell University Library, 2019-09)
    Traditional 3D convolutions are computationally expensive, memory intensive, and due to large number of parameters, they often tend to overfit. On the other hand, 2D CNNs are less computationally expensive and less memory ...

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