谷歌机器学习速成课程 - 随笔分类 - lightmare

摘要：目录Calculating a ProbabilityModel Training1.Loss function for Logistic Regression2.Regularization in Logistic RegressionGlossay Calcula... 阅读全文

posted @ 2018-08-27 23:27 lightmare 阅读(907) 评论(0) 推荐(0)

摘要：目录Overcrossing?L₂ RegularizationLambdaExamining L2 regularizationCheck UnderstandingGlossay Overcrossing?complete this exercise that e... 阅读全文

posted @ 2018-08-26 23:05 lightmare 阅读(500) 评论(0) 推荐(0)

摘要：目录Feature CrossesEncoding NonlinearityKinds of feature crossesGlossay Crossing One-Hot VectorsPlayground ExercisesIntroducing Feature... 阅读全文

posted @ 2018-08-26 15:13 lightmare 阅读(1036) 评论(0) 推荐(0)

摘要：目录 RepresentationFeature EngineeringMapping Raw Data to FeaturesMapping numeric valuesMapping categorical valuesSparse RepresentationG... 阅读全文

posted @ 2018-08-24 16:47 lightmare 阅读(520) 评论(0) 推荐(0)

摘要：目录Generalization: Peril of Overfitting Low loss, but still a bad model?How Do We Know If Our Model Is Good?The ML Fine PrintThree bas... 阅读全文

posted @ 2018-08-23 16:20 lightmare 阅读(665) 评论(0) 推荐(0)

摘要：目录1.工具包TensorFlow张量 (Tensor)图 (graph)TensorBoard2.tf.estimator APIEstimator预创建的 Estimator (pre-made Estimator)自定义 Estimator(custom Est... 阅读全文

posted @ 2018-08-21 21:33 lightmare 阅读(967) 评论(0) 推荐(0)

摘要：目录一、机器学习简介 (Introduction to Machine Learning)二、问题构建 (Framing)标签(label)特征 (feature)样本(example)模型 (model)回归与分类三、深入了解机器学习 (Descending int... 阅读全文

posted @ 2018-08-19 22:36 lightmare 阅读(1065) 评论(0) 推荐(0)

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