tensorflow研究资料


##tensorflow学习课程
https://developers.google.com/machine-learning/crash-course/ml-intro##TensorFlow 如何入门&＃xff0c;如何快速学习&＃xff1f;
https://www.zhihu.com/question/49909565##最初的资料
https://weibo.com/1840408525/EryUJznWr?type&＃61;comment#_rnd1542959636500##TensorFlow官方文档
https://www.tensorflow.org/http://www.tensorfly.cn/
http://www.tensorfly.cn/tfdoc/get_started/introduction.html##tflearn官方文档
http://tflearn.org/##TensorFlow实现深度学习算法的教程汇集&＃xff1a;代码&＃43;笔记
https://mp.weixin.qq.com/s?__biz&＃61;MjM5MDAxNjkyMA&＃61;&＃61;&mid&＃61;2650739722&idx&＃61;1&sn&＃61;eecff5bbe98d9cfccb2939d3b0665dc4&chksm&＃61;be4080fd893709ebbc5239eece74b19b6fa2a8fd4f2d9f44b6c0b46755d119495a20692a2f3d&mpshare&＃61;1&scene&＃61;1&srcid&＃61;1120OnCs3I5y6Zofalj5UB5D&from&＃61;singlemessage&ascene&＃61;1&devicetype&＃61;android-27&version&＃61;26060632&nettype&＃61;ctnet&abtest_COOKIE&＃61;AwABAAoACwANAAMAJJceAFmZHgCKmR4AAAA%3D&lang&＃61;zh_CN&pass_ticket&＃61;BpJp1Whqy6TQU13KIroTkrjgxbT1X59Q6uDmKe0nnfHJuAob5ZfNOsvtPUQU6iu8&wx_header&＃61;1##tflearn学习资料
https://blog.csdn.net/u013745804/article/details/78285166
https://yq.aliyun.com/articles/526769##Why CNN for Image
http://www.cnblogs.com/yangmang/p/7239424.html##使用TensorFlow进行特征提取(中层特征&＃xff09;以及mat文件转为tfrecord方法
https://blog.csdn.net/ciel_monkingjay/article/details/78807055
https://www.cnblogs.com/denny402/p/6937084.html###CNN、RNN、DNN的区别
https://www.zhihu.com/question/34681168##numpy学习资料&＃xff0c;与TensorFlow的数据做对比
https://pda.readthedocs.io/en/latest/chp4.html##特征工程分类
https://www.zhihu.com/question/28641663###风险控制解决方案
https://github.com/wepe/PPD_RiskControlCompetition##########################
多层感知器。一种用于 MNIST 分类任务的多层感知实现
https://github.com/tflearn/tflearn/blob/master/examples/images/dnn.py卷积网络&＃xff08;MNIST&＃xff09;。用于分类 MNIST 数据集的一种卷积神经网络实现&＃xff1a;
https://github.com/tflearn/tflearn/blob/master/examples/images/convnet_mnist.pyHighway Convolutional Network。用于分类 MNIST 数据集的 Highway Convolutional Network 实现&＃xff1a;
https://github.com/tflearn/tflearn/blob/master/examples/images/convnet_highway_mnist.py应用于 MNIST 分类任务的一种瓶颈残差网络
https://github.com/tflearn/tflearn/blob/master/examples/images/residual_network_mnist.py#################################################
###训练、保存、加载tensorflow模型
https://cv-tricks.com/tensorflow-tutorial/save-restore-tensorflow-models-quick-complete-tutorial/
https://blog.csdn.net/liuxiao214/article/details/79048136