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Types & classes121 in github.com/VipaiLab/machine-learning-course

↓ 5 callersClassResNetBasicBlock
code/第四章-深度学习/ResNet/testResNet18.py:13
↓ 4 callersClassConvBn
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:11
↓ 4 callersClassConvBnPrelu
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:24
↓ 4 callersClassDepthWise
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:37
↓ 4 callersClass_DataSet
Container class for a _DataSet (deprecated). THIS CLASS IS DEPRECATED.
code/第四章-深度学习/LENET/tensorflow/nnMnist/input_data.py:108
↓ 3 callersClassFaceMobileNet
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:76
↓ 3 callersClassMultiDepthWiseRes
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:62
↓ 3 callersClassResIRSE
Resnet50-IRSE backbone
code/第四章-深度学习/faceRecognitionCASIA/model/resnet.py:69
↓ 3 callersClassResNetDownBlock
code/第四章-深度学习/ResNet/testResNet18.py:29
↓ 2 callersClassDarknet
code/第四章-深度学习/YoloV3/darknet.py:167
↓ 2 callersClassEmptyLayer
code/第四章-深度学习/YoloV3/darknet.py:53
↓ 2 callersClassSVC_Q
Q matrices for various formulations
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1266
↓ 2 callersClassSVR_Q
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1362
↓ 2 callersClasssvm_parameter
code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:225
↓ 1 callersClassAlexNet
code/第四章-深度学习/ResNet/testAlexNet.py:10
↓ 1 callersClassArcFace
code/第四章-深度学习/faceRecognitionCASIA/model/metric.py:9
↓ 1 callersClassConfig
code/第四章-深度学习/faceRecognitionCASIA/config.py:4
↓ 1 callersClassCosFace
code/第四章-深度学习/faceRecognitionCASIA/model/metric.py:53
↓ 1 callersClassDepthWiseRes
DepthWise with Residual
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:51
↓ 1 callersClassDetectionLayer
code/第四章-深度学习/YoloV3/darknet.py:58
↓ 1 callersClassDiscriminator
code/第四章-深度学习/GAN/trainDCGAN.py:400
↓ 1 callersClassFlatten
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:7
↓ 1 callersClassFlatten
code/第四章-深度学习/faceRecognitionCASIA/model/resnet.py:8
↓ 1 callersClassFocalLoss
code/第四章-深度学习/faceRecognitionCASIA/model/loss.py:4
↓ 1 callersClassGenerator
code/第四章-深度学习/GAN/trainDCGAN.py:326
↓ 1 callersClassGridOption
code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:17
↓ 1 callersClassIRSE
code/第四章-深度学习/faceRecognitionCASIA/model/resnet.py:46
↓ 1 callersClassLeNet
code/第四章-深度学习/ResNet/testLENet.py:9
↓ 1 callersClassLeNet
code/第四章-深度学习/LENET/testPytorchLenet/main.py:12
↓ 1 callersClassLocalWorker
code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:289
↓ 1 callersClassONE_CLASS_Q
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1316
↓ 1 callersClassONet
code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:251
↓ 1 callersClassPNet
code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:216
↓ 1 callersClassRNet
code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:232
↓ 1 callersClassSEConv
Use Convolution instead of FullyConnection in SE
code/第四章-深度学习/faceRecognitionCASIA/model/resnet.py:13
↓ 1 callersClassSSHWorker
code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:297
↓ 1 callersClassTelnetWorker
code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:310
↓ 1 callersClasssvm_problem
code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:174
ClassAppletFrame
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:486
ClassCache
Kernel Cache l is the number of total data items size is the cache size limit in bytes
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:67
ClassCache
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:16
ClassDiscriminator
code/第四章-深度学习/GAN/testDCGAN.py:54
ClassGenerator
code/第四章-深度学习/GAN/testDCGAN.py:21
ClassKernel
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:202
ClassKernel
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:136
ClassNetwork
code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:61
ClassONE_CLASS_Q
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1190
ClassQMatrix
Kernel evaluation the static method k_function is for doing single kernel evaluation the constructor of Kernel prepares to calculate the l*l kernel m
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:194
ClassQMatrix
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:130
ClassResNet18
code/第四章-深度学习/ResNet/testResNet18.py:49
ClassSE
code/第四章-深度学习/faceRecognitionCASIA/model/resnet.py:30
ClassSVC_Q
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1148
ClassSVR_Q
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1229
ClassSolutionInfo
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:398
ClassSolutionInfo
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:342
ClassSolver
An SMO algorithm in Fan et al., JMLR 6(2005), p. 1889--1918 Solves: min 0.5(\alpha^T Q \alpha) + p^T \alpha y^T \alpha = \delta y_i = +1 or -1 0 <=
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:393
ClassSolver
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:303
ClassSolver_NU
Solver for nu-svm classification and regression additional constraint: e^T \alpha = constant
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1009
ClassSolver_NU
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:897
ClassSvmToyWindow
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-toy/qt/svm-toy.cpp:25
ClassWorker
code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:244
ClassWorkerStopToken
code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:241
Classdecision_function
decision_function
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1641
Classdecision_function
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1495
Classface_box
code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/mtcnn.hpp:16
Classface_box
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/mtcnn.hpp:16
Classface_landmark
code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/mtcnn.hpp:10
Classface_landmark
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/mtcnn.hpp:10
Classhead_t
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:81
Classhead_t
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:19
Classmtcnn
code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/mtcnn.hpp:41
Classmtcnn
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/mtcnn.hpp:41
Classmtcnn_factory
code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/mtcnn.hpp:81
Classmtcnn_factory
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/mtcnn.hpp:81
Classmy_buffer
copied from TF_ManagedBuffer in c_api.cc */
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/main.cc:97
Classonly_for_auto_register
code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/mtcnn.hpp:97
Classonly_for_auto_register
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/mtcnn.hpp:97
Classpoint
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:32
Classpoint
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-toy/windows/svm-toy.cpp:48
Classpoint
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-toy/qt/svm-toy.cpp:49
Classscale_window
code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/comm_lib.hpp:9
Classscale_window
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/comm_lib.hpp:9
Classsvm
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1292
Classsvm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-train.c:57
Classsvm_model
svm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.h:52
Classsvm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-predict.c:15
Classsvm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1961
Classsvm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:343
Classsvm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm_model.java:5
Classsvm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmtrain.c:58
Classsvm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmpredict.c:49
Classsvm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svm_model_matlab.h:1
Classsvm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svm_model_matlab.c:31
Classsvm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-train.c:58
Classsvm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.h:12
Classsvm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.h:22
Classsvm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.h:57
Classsvm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-predict.c:12
Classsvm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:63
Classsvm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm_node.java:2
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