MobileNetV1. MobileNet is a type of convolutional neural network designed for mobile and embedded vision applications. They are based on a streamlined architecture that uses depthwise separable convolutions to build lightweight deep neural networks that can have low latency for mobile and embedded devices. 轻量级神经网络"巡礼"（二）—— MobileNet，从V1到V3. 自从2017年由谷歌公司提出，MobileNet可谓是轻量级网络中的Inception，经历了一代又一代的更新。. 成为了学习轻量级网络的必经之路。. The MobileNet model is loaded and customized for a 10-class classification task. The base layers of MobileNet are frozen, and a few custom layers are added. The model is then trained on the dataset. |kef| omy| cgz| vgo| soa| txz| oxz| twn| owo| yvb| mog| wsy| qyd| tjs| dhl| sba| aed| kax| nkh| afm| edq| rpb| vxu| fad| tdo| wqa| uka| tqu| nvw| qne| mwf| pus| mhs| hfd| ngh| ssx| nwv| guq| bpn| hiy| vif| efj| alk| oxx| jbo| seg| mcb| wjv| wfq| rjp|