[KongchangAI]
Unverified50% confidenceFactExact time

Depthwise separable convolutions reduce the parameter count of standard convolutions from K×K×C_in×C_out to K×K×C_in + C_in×C_out, typically achieving an 8–9× reduction.

1
Sources
50%
Confidence
Long-term
Relevance
9/9/2026
First Seen

Sources

Complete Analysis: Autonomous Bad Apple Video Generation with a 417k-Parameter Recurrent Neural Network

Related Entities

Depthwise Separable Convolutionconcept

Related Claims

UnverifiedFor a convolutional layer with kernel size k×k, C_in input channels, and C_out output channels, the number of floating-point operations is approximately 2×k²×C_in×C_out×H×W.66% similar

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