PyTorch Implemention of MobileNet V2. + Release of next generation of MobileNet in my repo *mobilenetv3.pytorch* + ... ... <看更多>

mobilenet v2, TFLite, 14.0MB, paper · netron, MobileNetV2 improves the state of the art performance of mobile models. mobilenet v2 quant, TFLite, 6.9MB ... ... <看更多>

The model is based on a pre-trained version of MobileNet V2. We'll start by retraining only the classification layers, reusing MobileNet's pre-trained ... ... <看更多>

why would execute by faster than executeAsync ? there is minimal time wasted by overhead of async functions, you'd gain in order of ... ... <看更多>

Overall, with sparse MobileNet, Eyeriss v2 in a 65-nm CMOS process achieves a throughput of 1470. 9. , on arXiv Recent History of Prototypes at Cornell ... ... <看更多>

Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks ... Overall, with sparse MobileNet, Eyeriss v2 in a 65nm CMOS process ... ... <看更多>