DeepLearning-一品网

face recognition[MobileFaceNet]

face recognition[MobileFaceNet]

face recognition[翻译][深度人脸识别:综述]

face recognition[翻译][深度人脸识别:综述]

face detection[SSH]

face detection[SSH]

face recognition[MobiFace]

face recognition[MobiFace]

face detection[CNN casade]

face detection[CNN casade]

face recognition[angular/consine-margin-based][L2-Softmax]

face recognition[angular/consine-margin-based][L2-Softmax]

face recognition[variations of softmax][ArcFace]

face recognition[variations of softmax][ArcFace]

face detection[S^3FD]

face detection[S^3FD]

face detection[Multi-view face detection&& MTCNN]

face detection[Multi-view face detection&& MTCNN]

face detection[Face R-FCN]

face detection[Face R-FCN]

face recognition[variations of softmax][L-Softmax]

face recognition[variations of softmax][L-Softmax]

face alignment[Ordinary Procrustes Analysis]

face alignment[Ordinary Procrustes Analysis]

face recognition[Euclidean-distance-based loss][Center Face]

face recognition[Euclidean-distance-based loss][Center Face]

face detection[FaceBoxes]

face detection[FaceBoxes]

face recognition[Euclidean-distance-based loss][FaceNet]

face recognition[Euclidean-distance-based loss][FaceNet]

face detection[PyramidBox]

face detection[PyramidBox]

face detection[Face R-CNN]

face detection[Face R-CNN]

face detection[HR]

face detection[HR]

在Linux服务器非root权限下搭建TensorFlow框架(Anaconda)

在Linux服务器非root权限下搭建TensorFlow框架(Anaconda)

VGG16等keras预训练权重文件的下载及本地存放

VGG16等keras预训练权重文件的下载及本地存放

【论文笔记】（模型压缩）Do Deep Nets Really Need to be Deep？

【论文笔记】（模型压缩）Do Deep Nets Really Need to be Deep？

【论文笔记】（知识蒸馏）Distilling the Knowledge in a Neural Network

【论文笔记】（知识蒸馏）Distilling the Knowledge in a Neural Network

神经网络与深度学习（邱锡鹏）编程练习5 CNN

神经网络与深度学习（邱锡鹏）编程练习5 CNN

【动手学深度学习pytorch】学习笔记 8.6. 循环神经网络的简洁实现

【动手学深度学习pytorch】学习笔记 8.6. 循环神经网络的简洁实现

神经网络与深度学习（邱锡鹏）编程练习5 CNN pytorch版

神经网络与深度学习（邱锡鹏）编程练习5 CNN pytorch版

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