Pytorch 模型训练流程TensorfFlow 模型训练流程FPNFPN三种回归类型segmentation_unetsegmentation_encoder-decodersegmentation_pspnetsegmentation_deeplabv3+rcnn_piplineAlexNet模型精度推理时间CPU推理时间GPU模型大小综合对比人脸识别系统组成DeepFashion FashionNetVGGNetResNet50yolov3迁移学习迁移学习迁移学习神经网络结构Forward and Backward passes with torch.nn.DataParallelNoisy Self-training语义分割上采样语义分割标签语义分割标签GANGANGANGANGAN-1GAN-2GAN-3GAN 例示GAN 例示CycleGANCycleGANZalando Research GANs神经网络神经网络神经网络TwoStageDetectorProGANProGANProgressive growing technique gradually adds layers to the networkFixEfficientNetNon-local Neural Networks12种激活函数卷积图像卷积卷积层参数量计算量内存占用全连接层参数量计算量内存占用VIT
Pytorch 模型训练流程TensorfFlow 模型训练流程FPNFPN三种回归类型segmentation_unetsegmentation_encoder-decodersegmentation_pspnetsegmentation_deeplabv3+rcnn_piplineAlexNet模型精度推理时间CPU推理时间GPU模型大小综合对比人脸识别系统组成DeepFashion FashionNetVGGNetResNet50yolov3迁移学习迁移学习迁移学习神经网络结构Forward and Backward passes with torch.nn.DataParallelNoisy Self-training语义分割上采样语义分割标签语义分割标签GANGANGANGANGAN-1GAN-2GAN-3GAN 例示GAN 例示CycleGANCycleGANZalando Research GANs神经网络神经网络神经网络TwoStageDetectorProGANProGANProgressive growing technique gradually adds layers to the networkFixEfficientNetNon-local Neural Networks12种激活函数卷积图像卷积卷积层参数量计算量内存占用全连接层参数量计算量内存占用VIT