ProxylessNet-GPU is a convolutional neural network architecture learnt with the ProxylessNAS neural architecture search algorithm that is optimized for GPU devices. It uses inverted residual blocks (MBConvs) from MobileNetV2 as its basic building block.
Source: ProxylessNAS: Direct Neural Architecture Search on Target Task and HardwarePaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Image Classification | 2 | 33.33% |
Few-Shot Image Classification | 1 | 16.67% |
General Classification | 1 | 16.67% |
Language Modeling | 1 | 16.67% |
Language Modelling | 1 | 16.67% |
Component | Type |
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Convolutions | |
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Pooling Operations | |
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Skip Connection Blocks |