SDPoint
Inference optimizer
A deep learning method for optimizing convolutional neural networks by reducing computational cost while improving regularization and inference efficiency.
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
18 stars
3 watching
4 forks
Language: Python
last commit: about 5 years ago batch-normalizationbatchnormcomputer-visionconvolutional-networksconvolutional-neural-networkscost-adjustabledeep-learningdeep-learning-algorithmsdeep-neural-networksdownsamplingefficient-inferenceefficient-modelimagenetimagenet-datasetpoolingpreact-resnetregularizationresnetresnetsresnext
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