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matlab_svm_2_original_2.exe 1.65 MB exematlab_svm_1_original.exe 349.36 KB exe
matlab_svm_2_original_2.exe 1.65 MB exematlab_svm_1_original.exe 349.36 KB exe
matlab_svm_2_original_2.exe 1.65 MB exematlab_svm_1_original.exe 349.36 KB exe
matlab_svm_2_original_2.exe 1.65 MB exematlab_svm_1_original.exe 349.36 KB exe
matlab_svm_2_original_2.exe 1.65 MB exe
matlab_svm_1_original.exe 349.36 KB exe
matlab_svm_2_original_2.exe 1.65 MB exe
matlab_svm_1_original.exe 349.36 KB exe
matlab_svm_2_original_2.exe 1.65 MB exe
matlab_svm_1_original.exe 349.36 KB exe
matlab_svm_2_original_2.exe 1.65 MB exe
matlab_svm_1_original.exe 349.36 KB exe
matlab_svm_2_original_2.exe 1.65 MB exe
matlab_svm_1_original.exe 349.36 KB exe
matlab_svm_2_original_2.exe 1.65 MB exe
matlab_svm_1_original.exe 349.36 KB exe
matlab_svm_2_original_2.exe 1.65 MB exe
matlab_svm_1_original.exe 349.36 KB exe
matlab_svm_2_original_2.exe 1.65 MB exe
matlab_svm_1_original.exe 349.36 KB exe
matlab_svm_2_original_2.exe 1.65 MB exe
matlab_svm_1_original.exe 349.36 KB exe
matlab_svm_2_original_2.exe 1.65 MB exe
matlab_svm_1_original.exe 349.36 KB exe
9.最优化形象解读.mp4 - 17.29MB9.最优化形象解读.mp4 - 17.29MB8.softmax分类器.mp4 - 17.29MB7.正则化惩罚项.mp4 - 17.29MB6.损失函数.mp4 - 17.29MB5.线性分类.mp4 - 17.29MB4.超参数与交叉验证.mp4 - 17.29MB3.用K近邻来进行分类.mp4 - 17.29MB2.挑战与常规套路.mp4 - 17.29MB11.反向传播.mp4 - 17.29MB10.最优化问题细节.mp4 - 17.29MB1.深度学习概述.mp4 - 17.29MB8.softmax分类器.mp4 - 77.09MB9.最优化形象解读.mp4 - 77.09MB8.softmax分类器.mp4 - 77.09MB7.正则化惩罚项.mp4 - 77.09MB6.损失函数.mp4 - 77.09MB5.线性分类.mp4 - 77.09MB4.超参数与交叉验证.mp4 - 77.09MB3.用K近邻来进行分类.mp4 - 77.09MB2.挑战与常规套路.mp4 - 77.09...