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Functions531 in github.com/VipaiLab/machine-learning-course

⨍ Functions 531◇ Types & classes 121

↓ 53 callersMethodsize

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/main.cc:108

↓ 42 callersFunctionmin

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:15

↓ 36 callersFunctionmax

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:18

↓ 34 callersMethodprint

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm_print_interface.java:4

↓ 31 callersFunctionswap

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:20

↓ 29 callersMethoddata

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/main.cc:107

↓ 23 callersFunctioninfo

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:48

↓ 19 callersFunctionfillprototype

(f, restype, argtypes)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:59

↓ 17 callersMethodinfo

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1310

↓ 17 callersMethodis_upper_bound

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:336

↓ 14 callersMethodconv

(self, inp, k_h, k_w, c_o, s_h,

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:132

↓ 13 callersMethodis_lower_bound

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:337

↓ 13 callersMethodload

Load network weights. data_path: The path to the numpy-serialized network weights session: The current TensorFlow session igno

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:79

↓ 12 callersMethodatof

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:149

↓ 12 callersMethodprelu

(self, inp, name)

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:167

↓ 12 callersFunctionsvm_free_and_destroy_model

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:3030

↓ 11 callersFunctionfake_answer

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmpredict.c:42

↓ 10 callersMethodatof

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_train.java:121

↓ 10 callersMethodfc

(self, inp, num_out, name, relu=True)

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:184

↓ 10 callersMethodget_Q

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1279

↓ 10 callersMethodget_Q

(int i, int len)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1164

↓ 10 callersFunctioninfo

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svmutil.py:167

↓ 9 callersMethoddot

(svm_node[] x, svm_node[] y)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:204

↓ 8 callersMethodatoi

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_train.java:132

↓ 8 callersMethodatoi

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:154

↓ 8 callersMethodfeed

Set the input(s) for the next operation by replacing the terminal nodes. The arguments can be either layer names or the actual layers.

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:97

↓ 8 callersFunctionnms

(boxes, threshold, method)

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:684

↓ 8 callersFunctionreadline

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-scale.c:340

↓ 7 callersMethodatof

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2544

↓ 7 callersMethodclone

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm_parameter.java:36

↓ 7 callersFunctionerr

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/checkdata.py:18

↓ 7 callersFunctionfake_answer

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/libsvmread.c:28

↓ 7 callersFunctionfake_answer

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmtrain.c:375

↓ 7 callersMethodmax_pool

(self, inp, k_h, k_w, s_h, s_w, name, padding='SAME')

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:175

↓ 7 callersMethodrun

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:252

↓ 6 callersFunction_read32

code/第四章-深度学习/LENET/tensorflow/nnMnist/input_data.py:42

↓ 6 callersMethodatoi

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2549

↓ 6 callersFunctionimresample

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:762

↓ 6 callersMethodkernel_function

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:167

↓ 6 callersMethodreadline

(BufferedReader fp)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_scale.java:80

↓ 6 callersFunctionsvm_destroy_param

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:3040

↓ 6 callersFunctionsvm_train

Interface functions

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2092

↓ 6 callersMethodsvm_train

(svm_problem prob, svm_parameter param)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1935

↓ 6 callersFunctionswap_endian

code/第四章-深度学习/LENET/caffe/mnistNew/convert_mnist_data.cpp:38

↓ 6 callersMethodswap_index

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:92

↓ 5 callersMethodSolve

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:504

↓ 5 callersMethod__init__

(self, in_c, out_c, kernel=(1, 1), stride=1, padding=0, groups=1)

code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:13

↓ 5 callersFunctionbias_variable

code/第四章-深度学习/LENET/tensorflow/nnMnist/nnMnist.py:20

↓ 5 callersFunctionclone

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:21

↓ 5 callersFunctiongen_svm_nodearray

(xi, feature_max=None, isKernel=False)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:74

↓ 5 callersMethodinfo

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_predict.java:21

↓ 5 callersMethodlru_delete

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:41

↓ 5 callersMethodmake_var

Creates a new TensorFlow variable.

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:123

↓ 5 callersFunctionsvm_predict

svm_predict(y, x, m [, options]) -> (p_labels, p_acc, p_vals) y: a list/tuple/ndarray of l true labels (type must be int/double). It is used f

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svmutil.py:135

↓ 5 callersMethodsvm_predict

(svm_model model, svm_node[] x)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2396

↓ 5 callersFunctionsvm_predict_values

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2501

↓ 5 callersFunctionsvm_train

svm_train(y, x [, options]) -> model | ACC | MSE y: a list/tuple/ndarray of l true labels (type must be int/double). x: 1. a list/tuple of l tra

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svmutil.py:39

↓ 5 callersFunctionweight_variable

code/第四章-深度学习/LENET/tensorflow/nnMnist/nnMnist.py:16

↓ 4 callersMethodSolve

(int l, QMatrix Q, double[] p_, byte[] y_, double[] alpha_, double Cp, double Cn, double eps, SolutionInf

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:404

↓ 4 callersFunction_maybe_download

Download the data from source url, unless it's already here. Args: filename: string, name of the file in the directory. work_directory:

code/第四章-深度学习/LENET/tensorflow/nnMnist/input_data.py:231

↓ 4 callersFunctionbbreg

(boundingbox,reg)

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:643

↓ 4 callersFunctionclean_up

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-scale.c:394

↓ 4 callersFunctionclear_all

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-toy/windows/svm-toy.cpp:143

↓ 4 callersFunctiondraw_all_points

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-toy/windows/svm-toy.cpp:168

↓ 4 callersFunctiondraw_point

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-toy/windows/svm-toy.cpp:157

↓ 4 callersFunctionexit_input_error

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-train.c:45

↓ 4 callersFunctionexit_input_error

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-predict.c:39

↓ 4 callersFunctionexit_with_help

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-train.c:11

↓ 4 callersMethodexit_with_help

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_train.java:20

↓ 4 callersMethodexit_with_help

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_predict.java:121

↓ 4 callersFunctiongenFields

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:56

↓ 4 callersMethodget_C

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:324

↓ 4 callersFunctionget_cur_time

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/utils.cpp:12

↓ 4 callersMethodmain

(String[] argv)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:480

↓ 4 callersFunctionpad

(total_boxes, w, h)

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:717

↓ 4 callersMethodreconstruct_gradient

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:362

↓ 4 callersFunctionrerec

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:752

↓ 4 callersMethodsoftmax

(self, target, axis, name=None)

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:209

↓ 4 callersFunctionsvm_check_probability_model

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:3167

↓ 4 callersFunctionsvm_predict

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2577

↓ 4 callersMethodsvm_predict_values

(svm_model model, svm_node[] x, double[] dec_values)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2323

↓ 3 callersMethod__init__

(self, channels, reduction)

code/第四章-深度学习/faceRecognitionCASIA/model/resnet.py:32

↓ 3 callersFunctionbutton_run_clicked

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-toy/windows/svm-toy.cpp:174

↓ 3 callersMethodclear_all

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:125

↓ 3 callersFunctionexit_with_help

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmtrain.c:22

↓ 3 callersFunctionexit_with_help

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmpredict.c:255

↓ 3 callersFunctionfake

code/第四章-深度学习/LENET/tensorflow/nnMnist/input_data.py:263

↓ 3 callersMethodget_cmd

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:278

↓ 3 callersMethodget_data

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:126

↓ 3 callersMethodget_data

(int index, float[][] data, int len)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:61

↓ 3 callersMethodis_free

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:338

↓ 3 callersFunctionload_classes

code/第四章-深度学习/YoloV3/util.py:212

↓ 3 callersMethodlru_insert

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:48

↓ 3 callersFunctionmy_float

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/checkdata.py:22

↓ 3 callersFunctionnms_boxes

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/comm_lib.cpp:5

↓ 3 callersFunctionnms_boxes

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/comm_lib.cpp:5

↓ 3 callersFunctionoutput

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-scale.c:372

↓ 3 callersMethodoutput

(int index, double value)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_scale.java:58

↓ 3 callersMethodrewind

(BufferedReader fp, String filename)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_scale.java:36

↓ 3 callersMethodsvm_check_probability_model

(svm_model model)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2842

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