迁移学习进行图片分类我要分享

Transfer learning for image classification

迁移学习 图片分类

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文件大小: 460KB

代码分类: 图像处理

开发平台: matlab

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代码描述

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


代码预览

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