中文说明：
使用新兴的机器学习方法：迁移学习进行图片分类，分类效果明显提高。
English Description：
Using a new machine learning method: transfer learning for image classification, the classification effect is significantly improved
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文件大小： 460KB
中文说明：
使用新兴的机器学习方法：迁移学习进行图片分类，分类效果明显提高。
English Description：
Using a new machine learning method: transfer learning for image classification, the classification effect is significantly improved
htl4ic
......\combineAU.m
......\data
......\....\10
......\....\..\A.mat
......\....\..\Alab.mat
......\....\..\B1.mat
......\....\..\B2.txt
......\....\..\C.txt
......\....\..\mytags.txt
......\....\10.txt
......\dosvm.m
......\loaddata.m
......\README.txt
......\runTask.m
......\tools
......\.....\cmf
......\.....\...\eval
......\.....\...\....\evaluate_error.m
......\.....\...\....\extract_common.m
......\.....\...\....\extract_rare.m
......\.....\...\....\mae.m
......\.....\...\....\rmse.m
......\.....\...\....\split_matrix.m
......\.....\...\gen_data.m
......\.....\...\glm.m
......\.....\...\glmparams.m
......\.....\...\glm_utils
......\.....\...\.........\check_covariance.m
......\.....\...\.........\create_scaling_matrix.m
......\.....\...\.........\estimate_stochastic_hessian.m
......\.....\...\.........\initial_steplength.m
......\.....\...\.........\mean_normchange.m
......\.....\...\.........\replace_zero_deriv.m
......\.....\...\.........\safe_cond.m
......\.....\...\.........\sample_factor.m
......\.....\...\.........\sample_factor_weighted.m
......\.....\...\.........\step_report.asv
......\.....\...\.........\step_report.m
......\.....\...\.........\verify_weights.m
......\.....\...\init.m
......\.....\...\links
......\.....\...\.....\binomial.m
......\.....\...\.....\binomial_loss.m
......\.....\...\.....\gaussian.m
......\.....\...\.....\gaussian_mex.c
......\.....\...\.....\gaussian_mex.mexw32
......\.....\...\.....\gaussian_old.m
......\.....\...\.....\logloss.m
......\.....\...\.....\loss_rescaling.m
......\.....\...\.....\mk_prediction_link.m
......\.....\...\.....\poisson.m
......\.....\...\.....\sgl_loss.m
......\.....\...\.....\sigmoid.m
......\.....\...\matlab_utils
......\.....\...\............\._normalize_cols.m
......\.....\...\............\bin_sear.m
......\.....\...\............\bool2str.m
......\.....\...\............\check_dims.m
......\.....\...\............\check_length.m
......\.....\...\............\check_nonnegative.m
......\.....\...\............\check_samedims.m
......\.....\...\............\check_samelength.m
......\.....\...\............\check_type.m
......\.....\...\............\cols.m
......\.....\...\............\confidence_plot_test.m
......\.....\...\............\confmat.m
......\.....\...\............\density.m
......\.....\...\............\exportfig.m
......\.....\...\............\finddiag.m
......\.....\...\............\gen_sqrtm.m
......\.....\...\............\has_empty_cols.m
......\.....\...\............\has_empty_rows.m
......\.....\...\............\identity.m
......\.....\...\............\init_random_seed.m
......\.....\...\............\isbetween.m
......\.....\...\............\ismember_sorted.m
......\.....\...\............\ispsd.m
......\.....\...\............\keep3.m
......\.....\...\............\load_sparse_matrix.m
......\.....\...\............\LogIf.m
......\.....\...\............\logit.m
......\.....\...\............\logit_deriv.m
......\.....\...\............\log_sparse_matrix.m
......\.....\...\............\myassert.m
......\.....\...\............\normalize_cols.m
......\.....\...\............\normalize_rows.m
......\.....\...\............\normalize_vec.m
......\.....\...\............\order.m
......\.....\...\............\process_options.m
......\.....\...\............\random_split.m
......\.....\...\............\README.txt
......\.....\...\............\rows.m
......\.....\...\............\safe_normalize_cols.m
......\.....\...\............\safe_normalize_rows.m
......\.....\...\............\safe_save.m
......\.....\...\............\sample.m
......\.....\...\............\saveCellArray.m
......\.....\...\............\scale_cols.m
......\.....\...\............\scale_rows.m