SDPoint
by xternalz
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
AI summary
Inference optimizer
A deep learning method for optimizing convolutional neural networks by reducing computational cost while improving regularization and inference efficiency.
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- #batch-normalization
- #batchnorm
- #computer-vision
- #convolutional-networks
- #convolutional-neural-networks
- #cost-adjustable
- #deep-learning
- #deep-learning-algorithms
- #deep-neural-networks
- #downsampling
- #efficient-inference
- #efficient-model
- #imagenet
- #imagenet-dataset
- #pooling
- #preact-resnet
- #regularization
- #resnet
- #resnets
- #resnext
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