机器学习与深度学习代码与数据

[{"title":"（ 48 个子文件 48.97MB ） 机器学习与深度学习代码与数据","children":[{"title":"代码","children":[{"title":"4、朴素贝叶斯","children":[{"title":"nai_bayes.py <span style='color:#111;'> 3.79KB </span>","children":null,"spread":false}],"spread":true},{"title":"2、逻辑回归","children":[{"title":"logistic_regression.py <span style='color:#111;'> 1.84KB </span>","children":null,"spread":false},{"title":"iris.data <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false}],"spread":true},{"title":"3、决策树","children":[{"title":"xgboost_classify.py <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"iris.data <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false}],"spread":true},{"title":"5、tensorflow初级","children":[{"title":"simple_tf.py <span style='color:#111;'> 751B </span>","children":null,"spread":false},{"title":"linear_regression_with_tensorflow.py <span style='color:#111;'> 1.59KB </span>","children":null,"spread":false}],"spread":true},{"title":"1、线性回归","children":[{"title":"polynomial_lr.data <span style='color:#111;'> 4.47KB </span>","children":null,"spread":false},{"title":"simple_lr.data <span style='color:#111;'> 4.45KB </span>","children":null,"spread":false},{"title":"linear_regression.py <span style='color:#111;'> 2.75KB </span>","children":null,"spread":false}],"spread":true},{"title":"7、词向量可视化","children":[{"title":"w2v_model","children":[{"title":"w2v.ckpt.meta <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false},{"title":"events.out.tfevents.1521874623.YICHENGL <span style='color:#111;'> 2.22KB </span>","children":null,"spread":false},{"title":"projector_config.pbtxt <span style='color:#111;'> 76B </span>","children":null,"spread":false},{"title":"w2v.ckpt.index <span style='color:#111;'> 137B </span>","children":null,"spread":false},{"title":"events.out.tfevents.1521874407.YICHENGL <span style='color:#111;'> 2.22KB </span>","children":null,"spread":false},{"title":"checkpoint <span style='color:#111;'> 73B </span>","children":null,"spread":false},{"title":"events.out.tfevents.1521815043.YICHENGL <span style='color:#111;'> 2.22KB </span>","children":null,"spread":false},{"title":"w2v.ckpt.data-00000-of-00001 <span style='color:#111;'> 1.14MB </span>","children":null,"spread":false},{"title":"events.out.tfevents.1536474967.YICHENGL <span style='color:#111;'> 2.28KB </span>","children":null,"spread":false},{"title":"metadata.tsv <span style='color:#111;'> 7.22KB </span>","children":null,"spread":false}],"spread":true},{"title":"w2v_data","children":[{"title":"GoogleNews-vectors-negative2000.bin <span style='color:#111;'> 1.43MB </span>","children":null,"spread":false}],"spread":true},{"title":"w2v_visualize.py <span style='color:#111;'> 2.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"6、手写数字识别","children":[{"title":"mnist.py <span style='color:#111;'> 2.91KB </span>","children":null,"spread":false},{"title":"mnist_model","children":[{"title":"checkpoint <span style='color:#111;'> 77B </span>","children":null,"spread":false},{"title":"model.ckpt.index <span style='color:#111;'> 590B </span>","children":null,"spread":false},{"title":"model.ckpt.meta <span style='color:#111;'> 59.82KB </span>","children":null,"spread":false},{"title":"model.ckpt.data-00000-of-00001 <span style='color:#111;'> 37.46MB </span>","children":null,"spread":false}],"spread":true},{"title":"mnist_data","children":[{"title":"t10k-images-idx3-ubyte.gz <span style='color:#111;'> 1.57MB </span>","children":null,"spread":false},{"title":"t10k-labels-idx1-ubyte.gz <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"train-labels-idx1-ubyte.gz <span style='color:#111;'> 28.20KB </span>","children":null,"spread":false},{"title":"train-images-idx3-ubyte.gz <span style='color:#111;'> 9.45MB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"8、聊天机器人","children":[{"title":"chat_bot.py <span style='color:#111;'> 13.73KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"chat_qa.txt <span style='color:#111;'> 576B </span>","children":null,"spread":false}],"spread":true},{"title":"model","children":[{"title":"generate_model.ckpt.meta <span style='color:#111;'> 609.85KB </span>","children":null,"spread":false},{"title":"generate_model.ckpt.data-00000-of-00001 <span style='color:#111;'> 4.84MB </span>","children":null,"spread":false},{"title":"generate_model.ckpt.index <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"checkpoint <span style='color:#111;'> 95B </span>","children":null,"spread":false},{"title":"dictionary.pkl <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":".idea","children":[{"title":"misc.xml <span style='color:#111;'> 288B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 290B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 853B </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"profiles_settings.xml <span style='color:#111;'> 128B </span>","children":null,"spread":false}],"spread":false},{"title":"8、聊天机器人.iml <span style='color:#111;'> 284B </span>","children":null,"spread":false}],"spread":true},{"title":"util","children":[{"title":"__pycache__","children":[{"title":"data_provider.cpython-36.pyc <span style='color:#111;'> 7.46KB </span>","children":null,"spread":false},{"title":"__init__.cpython-36.pyc <span style='color:#111;'> 149B </span>","children":null,"spread":false}],"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"data_provider.py <span style='color:#111;'> 5.92KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}],"spread":true}]