##tensorflow學習課程
https://developers.google.com/machine-learning/crash-course/ml-intro
##TensorFlow 如何入門,如何快速學習?
https://www.zhihu.com/question/49909565
##最初的資料
https://weibo.com/1840408525/EryUJznWr?type=comment#_rnd1542959636500
##TensorFlow官方文檔
https://www.tensorflow.org/
http://www.tensorfly.cn/
http://www.tensorfly.cn/tfdoc/get_started/introduction.html
##tflearn官方文檔
http://tflearn.org/
##TensorFlow實現深度學習算法的教程彙集:代碼+筆記
https://mp.weixin.qq.com/s?__biz=MjM5MDAxNjkyMA==&mid=2650739722&idx=1&sn=eecff5bbe98d9cfccb2939d3b0665dc4&chksm=be4080fd893709ebbc5239eece74b19b6fa2a8fd4f2d9f44b6c0b46755d119495a20692a2f3d&mpshare=1&scene=1&srcid=1120OnCs3I5y6Zofalj5UB5D&from=singlemessage&ascene=1&devicetype=android-27&version=26060632&nettype=ctnet&abtest_cookie=AwABAAoACwANAAMAJJceAFmZHgCKmR4AAAA%3D&lang=zh_CN&pass_ticket=BpJp1Whqy6TQU13KIroTkrjgxbT1X59Q6uDmKe0nnfHJuAob5ZfNOsvtPUQU6iu8&wx_header=1
##tflearn學習資料
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進行特徵提取(中層特徵)以及mat文件轉爲tfrecord方法
https://blog.csdn.net/ciel_monkingjay/article/details/78807055
https://www.cnblogs.com/denny402/p/6937084.html
###CNN、RNN、DNN的區別
https://www.zhihu.com/question/34681168
##numpy學習資料,與TensorFlow的數據做對比
https://pda.readthedocs.io/en/latest/chp4.html
##特徵工程分類
https://www.zhihu.com/question/28641663
###風險控制解決方案
https://github.com/wepe/PPD_RiskControlCompetition
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多層感知器。一種用於 MNIST 分類任務的多層感知實現
https://github.com/tflearn/tflearn/blob/master/examples/images/dnn.py
卷積網絡(MNIST)。用於分類 MNIST 數據集的一種卷積神經網絡實現:
https://github.com/tflearn/tflearn/blob/master/examples/images/convnet_mnist.py
Highway Convolutional Network。用於分類 MNIST 數據集的 Highway Convolutional Network 實現:
https://github.com/tflearn/tflearn/blob/master/examples/images/convnet_highway_mnist.py
應用於 MNIST 分類任務的一種瓶頸殘差網絡
https://github.com/tflearn/tflearn/blob/master/examples/images/residual_network_mnist.py
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###訓練、保存、加載tensorflow模型
https://cv-tricks.com/tensorflow-tutorial/save-restore-tensorflow-models-quick-complete-tutorial/
https://blog.csdn.net/liuxiao214/article/details/79048136
tensorflow研究資料
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