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混淆矩阵及confusion_matrix函数的使用https://blog.csdn.net/m0_38061927/article/details/77198990
分类模型评判指标（一） - 混淆矩阵(Confusion Matrix)https://blog.csdn.net/Orange_Spotty_Cat/article/details/80520839
深度学习F2-Score及其他(F-Score)https://blog.csdn.net/wangdongwei0/article/details/84669297
Kappa系数https://blog.csdn.net/xtingjie/article/details/72803029
https://github.com/HonestyBrave/DeepLearning_Notes_CV#3-python图像处理库
Python图像处理笔记(含opencv-python/PIL/scikit-image/libtiff/gdal库等等).mdhttps://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/other/Python%E5%9B%BE%E5%83%8F%E5%A4%84%E7%90%86%E7%AC%94%E8%AE%B0.md
python+tifffile之tiff文件读写https://blog.csdn.net/yuanlulu/article/details/83279768
matlab的安装和学习.mdhttps://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/other/matlab%E5%AD%A6%E4%B9%A0.md
https://github.com/HonestyBrave/DeepLearning_Notes_CV#5-python常用库
Scikit-plot 画图神器 – Python量化投资https://www.lizenghai.com/archives/17197.html
python的Tqdm模块https://blog.csdn.net/langb2014/article/details/54798823
https://github.com/HonestyBrave/DeepLearning_Notes_CV#6-其他知识点
机器学习中的在线学习与离线学习 - CSDN博客https://blog.csdn.net/a133521741/article/details/79221015
请问在神经网络算法当中提到的在线训练和离线训练分别是什么意思？ - 知乎https://www.zhihu.com/question/35607456
远程连接工具小结https://zhaoxuhui.top/blog/2018/04/14/RemoteConnection.html
https://github.com/HonestyBrave/DeepLearning_Notes_CV#二框架学习
https://github.com/HonestyBrave/DeepLearning_Notes_CV#0-框架比较
深度学习框架对比.mdhttps://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/other/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E6%A1%86%E6%9E%B6%E5%AF%B9%E6%AF%94.md
https://github.com/HonestyBrave/DeepLearning_Notes_CV#1-tensorflow1x-学习
深度学习硬件选购及tensorflow各系统下的环境搭建.mdhttps://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/other/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E7%A1%AC%E4%BB%B6%E9%80%89%E8%B4%AD%E5%8F%8Atensorflow%E5%90%84%E7%B3%BB%E7%BB%9F%E4%B8%8B%E7%9A%84%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA.md
https://github.com/HonestyBrave/DeepLearning_Notes_CV#11-快速入门
令人困惑的TensorFlow！https://zhuanlan.zhihu.com/p/38812133
令人困惑的 TensorFlow！(II)https://zhuanlan.zhihu.com/p/46008208
https://github.com/HonestyBrave/DeepLearning_Notes_CV#12-学习笔记
01-Tensorflow简介，Anaconda安装，Tensorflow的CPU版本安装https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/Notes/01-Tensorflow%E7%AE%80%E4%BB%8B%EF%BC%8CAnaconda%E5%AE%89%E8%A3%85%EF%BC%8CTensorflow%E7%9A%84CPU%E7%89%88%E6%9C%AC%E5%AE%89%E8%A3%85.md
02-Tensorflow的基础使用，包括对图(graphs),会话(session),张量(tensor),变量(Variable)的一些解释和操作https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/Notes/02-Tensorflow%E7%9A%84%E5%9F%BA%E7%A1%80%E4%BD%BF%E7%94%A8%EF%BC%8C%E5%8C%85%E6%8B%AC%E5%AF%B9%E5%9B%BE(graphs),%E4%BC%9A%E8%AF%9D(session),%E5%BC%A0%E9%87%8F(tensor),%E5%8F%98%E9%87%8F(Variable)%E7%9A%84%E4%B8%80%E4%BA%9B%E8%A7%A3%E9%87%8A%E5%92%8C%E6%93%8D%E4%BD%9C.md
03-Tensorflow线性回归以及分类的简单使用https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/Notes/03-Tensorflow%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E4%BB%A5%E5%8F%8A%E5%88%86%E7%B1%BB%E7%9A%84%E7%AE%80%E5%8D%95%E4%BD%BF%E7%94%A8.md
04-softmax，交叉熵(cross-entropy)，dropout以及Tensorflow中各种优化器的介绍https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/Notes/04-softmax%EF%BC%8C%E4%BA%A4%E5%8F%89%E7%86%B5(cross-entropy)%EF%BC%8Cdropout%E4%BB%A5%E5%8F%8ATensorflow%E4%B8%AD%E5%90%84%E7%A7%8D%E4%BC%98%E5%8C%96%E5%99%A8%E7%9A%84%E4%BB%8B%E7%BB%8D.md
详见-传送https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/Notes/tf.nn.softmax_cross_entropy_with_logits%E7%9A%84%E7%94%A8%E6%B3%95%E9%97%AE%E9%A2%98.md
05-使用Tensorboard进行结构可视化，以及网络运算过程可视化https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/Notes/05-%E4%BD%BF%E7%94%A8Tensorboard%E8%BF%9B%E8%A1%8C%E7%BB%93%E6%9E%84%E5%8F%AF%E8%A7%86%E5%8C%96%EF%BC%8C%E4%BB%A5%E5%8F%8A%E7%BD%91%E7%BB%9C%E8%BF%90%E7%AE%97%E8%BF%87%E7%A8%8B%E5%8F%AF%E8%A7%86%E5%8C%96.md
06-卷积神经网络CNN的讲解，以及用CNN解决MNIST分类问题https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/Notes/06-%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9CCNN%E7%9A%84%E8%AE%B2%E8%A7%A3%EF%BC%8C%E4%BB%A5%E5%8F%8A%E7%94%A8CNN%E8%A7%A3%E5%86%B3MNIST%E5%88%86%E7%B1%BB%E9%97%AE%E9%A2%98.md
07-递归神经网络LSTM的讲解，以及LSTM网络的使用https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/Notes/07-%E9%80%92%E5%BD%92%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9CLSTM%E7%9A%84%E8%AE%B2%E8%A7%A3%EF%BC%8C%E4%BB%A5%E5%8F%8ALSTM%E7%BD%91%E7%BB%9C%E7%9A%84%E4%BD%BF%E7%94%A8.md
08-保存和载入模型，使用Google的图像识别网络inception-v3进行图像识别https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/Notes/08-%E4%BF%9D%E5%AD%98%E5%92%8C%E8%BD%BD%E5%85%A5%E6%A8%A1%E5%9E%8B%EF%BC%8C%E4%BD%BF%E7%94%A8Google%E7%9A%84%E5%9B%BE%E5%83%8F%E8%AF%86%E5%88%AB%E7%BD%91%E7%BB%9Cinception-v3%E8%BF%9B%E8%A1%8C%E5%9B%BE%E5%83%8F%E8%AF%86%E5%88%AB.md
09-Tensorflow的GPU版本安装。设计自己的网络模型，并训练自己的网络模型进行图像识别https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/Notes/09-Tensorflow%E7%9A%84GPU%E7%89%88%E6%9C%AC%E5%AE%89%E8%A3%85%E3%80%82%E8%AE%BE%E8%AE%A1%E8%87%AA%E5%B7%B1%E7%9A%84%E7%BD%91%E7%BB%9C%E6%A8%A1%E5%9E%8B%EF%BC%8C%E5%B9%B6%E8%AE%AD%E7%BB%83%E8%87%AA%E5%B7%B1%E7%9A%84%E7%BD%91%E7%BB%9C%E6%A8%A1%E5%9E%8B%E8%BF%9B%E8%A1%8C%E5%9B%BE%E5%83%8F%E8%AF%86%E5%88%AB.md
10-使用Tensorflow进行验证码识别https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/Notes/10-%E4%BD%BF%E7%94%A8Tensorflow%E8%BF%9B%E8%A1%8C%E9%AA%8C%E8%AF%81%E7%A0%81%E8%AF%86%E5%88%AB.md
11-Tensorflow在NLP中的使用(一)https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/Notes/11-Tensorflow%E5%9C%A8NLP%E4%B8%AD%E7%9A%84%E4%BD%BF%E7%94%A8(%E4%B8%80).md
12-Tensorflow在NLP中的使用(二)https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/Notes/12-Tensorflow%E5%9C%A8NLP%E4%B8%AD%E7%9A%84%E4%BD%BF%E7%94%A8(%E4%BA%8C).md
TensorFlow的理解和总结https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/other/%5B%E8%BD%AC%5DTensorFlow%E7%9A%84%E7%90%86%E8%A7%A3%E5%92%8C%E6%80%BB%E7%BB%93.md
TensorFlow的API详解和记录https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/other/%5B%E6%95%B4%E7%90%86%5DTensorFlow%E7%9A%84API%E8%AF%A6%E8%A7%A3%E5%92%8C%E8%AE%B0%E5%BD%95.md
相关阅读https://github.com/HonestyBrave/DeepLearning_Notes_CV#bowen
tensorflow中使用指定的GPU及显存分析https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/other/tensorflow%E4%B8%AD%E4%BD%BF%E7%94%A8%E6%8C%87%E5%AE%9A%E7%9A%84GPU%E5%8F%8A%E6%98%BE%E5%AD%98%E5%88%86%E6%9E%90.md
https://github.com/HonestyBrave/DeepLearning_Notes_CV#13-学习来源
tensorflow教程（十课）https://www.youtube.com/watch?v=eAtGqz8ytOI&list=PLjSwXXbVlK6IHzhLOMpwHHLjYmINRstrk&index=2&t=0s
《深度学习框架TensorFlow学习与应用》https://www.bilibili.com/video/av20542427/
百度网盘下载https://pan.baidu.com/s/16OINOrFiRXbqmqOFjCFzLQ
百度网盘下载https://pan.baidu.com/s/1oQLgWFEBsVrcKJN4swEdzg
https://github.com/HonestyBrave/DeepLearning_Notes_CV#14-其他资料
TF Girls 修炼指南https://www.youtube.com/watch?v=TrWqRMJZU8A&list=PLwY2GJhAPWRcZxxVFpNhhfivuW0kX15yG&index=2
TF Girls 修炼指南https://space.bilibili.com/16696495/#/channel/detail?cid=1588
深度学习框架-Tensorflow案例实战视频课程https://www.youtube.com/watch?v=-pYU4ub7g0c&list=PL8LR_PrSuIRhpEYA3sJ-J5hYGYUSwZwdS
深度学习框架-Tensorflow案例实战视频课程https://www.bilibili.com/video/av29663946/?p=1
Tensorflow 教程系列 | 莫烦Pythonhttps://morvanzhou.github.io/tutorials/machine-learning/tensorflow/
《Tensorflow：实战Google深度学习框架》https://book.douban.com/subject/26976457/
https://github.com/caicloud/tensorflow-tutorialhttps://github.com/caicloud/tensorflow-tutorial
TensorFlow_learning_noteshttps://github.com/cookeem/TensorFlow_learning_notes
《TensorFlow实战》https://book.douban.com/subject/26974266/
https://github.com/terrytangyuan/tensorflow-in-practice-codehttps://github.com/terrytangyuan/tensorflow-in-practice-code
TensorFlow 最新官方文档中文版 V1.10 https://github.com/xitu/tensorflow-docs
TensorFlow 官方文档中文版http://wiki.jikexueyuan.com/project/tensorflow-zh/
TensorFlow 官方文档中文版http://www.tensorfly.cn/tfdoc/get_started/introduction.html
https://github.com/HonestyBrave/DeepLearning_Notes_CV#2-tensorflow2x-学习
czy36mengfei/tensorflow2_tutorials_chinesehttps://github.com/czy36mengfei/tensorflow2_tutorials_chinese
https://github.com/HonestyBrave/DeepLearning_Notes_CV#3-keras-学习
https://github.com/HonestyBrave/DeepLearning_Notes_CV#keras-学习
Keras 学习笔记.mdhttps://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/other/keras/keras-learning.md
主页 - Keras 中文文档https://keras.io/zh/
详解keras的model.summary()输出参数Param计算过程https://blog.csdn.net/ybdesire/article/details/85217688
tensorflow - What does 'non-trainable params' mean? - Stack Overflowhttps://stackoverflow.com/questions/47312219/what-does-non-trainable-params-mean
https://github.com/HonestyBrave/DeepLearning_Notes_CV#keras---模型可视化
模型可视化 - Keras中文文档https://keras-cn.readthedocs.io/en/latest/other/visualization/
可视化 Visualization - Keras 中文文档https://keras.io/zh/visualization/
https://github.com/HonestyBrave/DeepLearning_Notes_CV#keras---迁移学习预训练
预训练模型Application - Keras中文文档https://keras-cn-twkun.readthedocs.io/other/application/
https://github.com/HonestyBrave/DeepLearning_Notes_CV#keras---导入模型测试
Keras加载预训练模型 - 豌豆ip代理https://www.wandouip.com/t5i44145/
https://github.com/HonestyBrave/DeepLearning_Notes_CV#keras---使用多-gpu
如何让keras训练深度网络时使用两张显卡？ - 知乎https://www.zhihu.com/question/67239897
keras 关于使用多个 gpuhttps://blog.csdn.net/MachineRandy/article/details/80040765
Keras同时用多张显卡训练网络 - 简书https://www.jianshu.com/p/db0ba022936f
Keras多GPU及分布式https://blog.csdn.net/qq_34564612/article/details/79209965
https://github.com/HonestyBrave/DeepLearning_Notes_CV#keras---相关文章
Keras中的多分类损失函数categorical_crossentropyhttps://blog.csdn.net/u010412858/article/details/76842216
keras中的keras.utils.to_categorical方法https://blog.csdn.net/nima1994/article/details/82468965
keras中的回调函数https://blog.csdn.net/jiandanjinxin/article/details/77097910
为何Keras中的CNN是有问题的，如何修复它们？ - 知乎https://zhuanlan.zhihu.com/p/73549089
https://github.com/HonestyBrave/DeepLearning_Notes_CV#4-hellowordmnist
MNIST数据集二进制格式转换为图片.mdhttps://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/other/MNIST/MNIST%E6%95%B0%E6%8D%AE%E9%9B%86%E4%BA%8C%E8%BF%9B%E5%88%B6%E6%A0%BC%E5%BC%8F%E8%BD%AC%E6%8D%A2%E4%B8%BA%E5%9B%BE%E7%89%87.md
手写数字识别MNIST讲解.mdhttps://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/other/MNIST/%E6%89%8B%E5%86%99%E6%95%B0%E5%AD%97%E8%AF%86%E5%88%ABMNIST%E8%AE%B2%E8%A7%A3.md
https://github.com/HonestyBrave/DeepLearning_Notes_CV#5-相关阅读
https://github.com/HonestyBrave/DeepLearning_Notes_CV#损失函数代价函数
Tensorflow基础知识---损失函数详解https://sthsf.github.io/wiki/Algorithm/DeepLearning/Tensorflow%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0/Tensorflow%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86---%E6%8D%9F%E5%A4%B1%E5%87%BD%E6%95%B0%E8%AF%A6%E8%A7%A3.html
深度学习中常用的损失函数有哪些（覆盖分类，回归，风格化，GAN等任务）？https://zhuanlan.zhihu.com/p/60302475
tensorflow内置的四个损失函数https://blog.csdn.net/limiyudianzi/article/details/80693695
自定义损失函数https://blog.csdn.net/limiyudianzi/article/details/80697711
二分类、多分类与多标签问题的区别,对应损失函数的选择,你知道吗？ - 掘金https://juejin.im/post/5b38971be51d4558b10aad26
损失函数loss大大总结https://blog.csdn.net/qq_14845119/article/details/80787753
从loss处理图像分割中类别极度不均衡的状况---kerashttps://blog.csdn.net/m0_37477175/article/details/83004746#_1
语义分割 各种loss实现 pythonhttps://blog.csdn.net/qq_21997625/article/details/87695961
语义分割中常用的损失函数2（进阶篇）https://zhuanlan.zhihu.com/p/57008984
https://github.com/HonestyBrave/DeepLearning_Notes_CV#梯度下降优化算法优化器
第三章（1.5）关于tensorflow优化器 optimizer 的选择https://blog.csdn.net/lzc4869/article/details/78355132
深度学习——优化器算法Optimizer详解（BGD、SGD、MBGD、Momentum、NAG、Adagrad、Adadelta、RMSprop、Adam）https://www.cnblogs.com/guoyaohua/p/8542554.html
个人笔记-优化器参数详解（learning rate、weight decay、momentum、滑动平均等）https://github.com/HonestyBrave/DeepLearning_Notes_CV/blob/master/other/tensorflow%E4%BC%98%E5%8C%96%E5%99%A8%E5%8F%82%E6%95%B0%E8%AF%A6%E8%A7%A3.md
10个梯度下降优化算法+备忘单-图文外翻-AI研习社https://ai.yanxishe.com/page/TextTranslation/1603?from=timeline
https://github.com/HonestyBrave/DeepLearning_Notes_CV#炼丹技巧
Batch Normalization学习笔记及其实现 - 知乎https://zhuanlan.zhihu.com/p/26138673
训练神经网络时如何确定batch size？https://zhuanlan.zhihu.com/p/27763696
探索学习率设置技巧以提高Keras中模型性能 | 炼丹技巧https://mp.weixin.qq.com/s/VA8nKtZ4QZ7RgWTlqcWfgw
https://github.com/gunchagarg/learning-rate-techniques-kerashttps://github.com/gunchagarg/learning-rate-techniques-keras
https://github.com/HonestyBrave/DeepLearning_Notes_CV#其他文章
一文总览CNN网络架构演进：从LeNet到DenseNethttps://mp.weixin.qq.com/s/aJZ3T8EVaGDGfqxIs2av6A
详解 TensorBoard－如何调参https://blog.csdn.net/aliceyangxi1987/article/details/71716596
[干货|实践] TensorBoard可视化 - 知乎https://zhuanlan.zhihu.com/p/33178205
TensorFlow学习笔记（8）--网络模型的保存和读取https://blog.csdn.net/lwplwf/article/details/62419087
tensorflow从已经训练好的模型中，恢复(指定)权重(构建新变量、网络)并继续训练(finetuning)https://blog.csdn.net/ying86615791/article/details/76215363
关于Padding实现的一些细节 - 知乎https://zhuanlan.zhihu.com/p/73118626
https://github.com/HonestyBrave/DeepLearning_Notes_CV#6-一些问题
http://www.blogjava.net/qileilove/archive/2012/07/05/382241.htmlhttp://www.blogjava.net/qileilove/archive/2012/07/05/382241.html
Global Average Pooling全局平均池化的一点理解https://blog.csdn.net/qq_23304241/article/details/80292859
深度学习: global pooling (全局池化)https://blog.csdn.net/JNingWei/article/details/80064451
https://github.com/HonestyBrave/DeepLearning_Notes_CV#三计算机视觉
https://github.com/HonestyBrave/DeepLearning_Notes_CV#1-数据预处理
CS231n课程笔记翻译：神经网络笔记 2https://zhuanlan.zhihu.com/p/21560667
https://camo.githubusercontent.com/af63033cb028d5dd805dc5f038bbeeb71bdcca71addedbf0b675d5955a48f411/68747470733a2f2f696d672d313235363137393934392e636f732e61702d7368616e676861692e6d7971636c6f75642e636f6d2f32303139303731373231343030382e706e67
https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3#gistcomment-1616734https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3#gistcomment-1616734
image——Data Augmentation的代码 - CSDN博客https://blog.csdn.net/u014365862/article/details/78086604
https://github.com/HonestyBrave/DeepLearning_Notes_CV#2-图像的处理
3. Python图像处理库https://github.com/HonestyBrave/DeepLearning_Notes_CV#image
图像放缩中最近邻插值和双线性插值的基本原理https://blog.csdn.net/Andrew659/article/details/4818988
OpenCV探索之路（十三）：详解掩膜maskhttps://www.cnblogs.com/skyfsm/p/6894685.html
OpenCV探索之路（二十三）：特征检测和特征匹配方法汇总https://www.cnblogs.com/skyfsm/p/7401523.html
OpenCV探索之路（二十四）图像拼接和图像融合技术https://www.cnblogs.com/skyfsm/p/7411961.html
OpenCV探索之路 - 冠军的试炼https://www.cnblogs.com/skyfsm/category/1000207.html
https://github.com/HonestyBrave/DeepLearning_Notes_CV#3-存在的问题
https://github.com/HonestyBrave/DeepLearning_Notes_CV#1样本不均衡
https://github.com/HonestyBrave/DeepLearning_Notes_CV#4-注意力机制
【AI不惑境】计算机视觉中注意力机制原理及其模型发展和应用 - 有三AIhttps://mp.weixin.qq.com/s/G4mFW8cn-ho3KGmbw5sSTw
https://github.com/HonestyBrave/DeepLearning_Notes_CV#5-模型评价
模型评价 - GitHub-WiKihttps://github.com/HGladiator/MyCodes/wiki/%E6%A8%A1%E5%9E%8B%E8%AF%84%E4%BB%B7
https://github.com/HonestyBrave/DeepLearning_Notes_CV#方向图像分割image-segmentation
语义分割相关资料总结 - 知乎https://zhuanlan.zhihu.com/p/41976717
2019年最新基于深度学习的语义分割技术讲解 - 知乎https://zhuanlan.zhihu.com/p/76418243
史上最全语义分割综述（FCN,UNet,SegNet，Deeplab，ASPP...）https://blog.csdn.net/qq_41997920/article/details/96479243
语义分割入门的一点总结 - 知乎https://zhuanlan.zhihu.com/p/74318967
图像分割损失函数集：A collection of loss functions for medical image segmentationhttps://github.com/JunMa11/SegLoss
https://github.com/HonestyBrave/DeepLearning_Notes_CV#方向目标检测object-detection
https://github.com/HonestyBrave/DeepLearning_Notes_CV#方向光学字符识别ocr
OCR技术系列 - Madcola - 博客园https://www.cnblogs.com/skyfsm/category/1123384.html
https://github.com/HonestyBrave/DeepLearning_Notes_CV#附一些问题
为什么图像分类任务要从256x256中裁剪出224x224https://mp.weixin.qq.com/s/3_fn2oBrjrbrybF10UpFfw
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