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RSS订阅原创 Python学习之浅拷贝与深拷贝
1. 浅拷贝浅拷贝只复制父对象，其内部的子对象不复制。可通过copy.copy实现。2. 深拷贝深拷贝不仅复制父对象，还复制子对象，相当于重新生成了一个一模一样的对象。3. 区别import copya = [1, 2, 3]b = ac = copy.copy(a)d = copy.deepcopy(a)e = list(a)print("a address...
2018-10-30 21:07:43
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原创 机器学习系列之coursera week 10 Large Scale Machine Learning
目录1. Gradient Descent with Large Datasets1.1 Learning with large datasets1.2 Stochastic gradient descent1.3 Mini-Batch Gradient Dedscent1.4 Stochastic gradient descent convergence2. Advanc...
2018-10-10 10:10:07
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原创 机器学习系列之coursera week 9 Anomaly Detection
目录1. Density Estimation1.1 Problem Motivation2. Gaussian Distribution3. Algorithm2. Building an Anomaly Detection System2.1 Developing and Evaluating an Anomaly Detection System2.2 Anoma...
2018-09-26 15:21:01
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原创 机器学习系列之coursera week 8 Unsupervised Learning
目录1. Clustering1.1 Unsupervised Learning: Introduction1.2 K-Means Algorithm1.3 Optimization Objective1.4 Random initialization1.5 Choosing the number of clusters2. Motivation of Dimensio...
2018-09-17 21:19:35
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原创 机器学习系列之coursera week 7 Support Vector Machine
目录1. Large margin classification1.1 Optimization objective1.2 Large Margin Intuition1.3 Mathematic Behind Large Margin classification2. Kernels2.1 Kernels I2.2 Kernels II3. SVMs in pra...
2018-09-10 15:40:49
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原创 机器学习系列之coursera week 6 Advice for Applying Machine Learning
目录1. Evaluating a learning Algorithm1.1 Deciding what to try next1.2 Evaluating a hypothesis1.3 Model selection and training/validation/test2. Bias VS Variance2.1 Diagnosing bias VS varian...
2018-09-03 19:25:46
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原创 机器学习系列之coursera week 5 Neural Networks: Learning
目录1. Cost Function and Back Propagation1.1 Cost Function1.2 Back propagation algorithm1.3 Back propagation intuition2. Back Propagation in practice2.1 Implementation note: unrolling param...
2018-08-28 10:22:42
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原创 机器学习系列之coursera week 4 Neural Networks: Representation
目录1. Motivations1.1 Non-linear hypothesis (Neural Networks)1.2 Neurons and the brain2. Neural Networks2.1 Model Representation I2.2 Model Representation II3. Application3.1 Example and...
2018-08-20 17:17:12
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原创 机器学习系列之coursera week 3 Logistic Regression
目录1. Classification and Representation1.1 Classification1.2 Hypothesis representation of Logistic Regression1.3 Decision boundary2. Logistic Regression Model2.1 Cost function2.2 Simplifi...
2018-08-14 11:12:09
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原创 机器学习系列之coursera week 2 Linear Regression with Multiple Variables
目录1. Multiple Features1.1 Multiple features1.2 Gradient descent for multiple varibales1.3 Gradient descent in practice I：Feature scaling1.4 Gradient descent in practice II: Learning rate1....
2018-08-03 16:53:53
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原创 机器学习系列之coursera week 1 Introduction 以及模型评估
目录前言1.coursera week 1 review1.1 Introduction1.2 Model and cost function 1.3 Parameter learning2.模型评估 2.1 经验误差和过拟合 2.2 评估方法2.2.1 留出法2.2.2 交叉验证法2.2.3 自助法2.2.4 调参与最终模型 2....
2018-07-28 10:46:35
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原创 机器学习系列之BP算法实现神经网络
目录一. 神经网络简介二. 误差逆传播（error Back Propagation，BP ）算法三. python代码实现四. 参考 一. 神经网络简介神经网络式由具有适应性的简单单元组成的广泛并行交互的网络，它的组织能够模拟生物神经系统对真实世界物体所作出的交互反应。神经网络最基本的单元是神经元。早在1943年 McCulloch 和 Pitts将生物神经元抽象成如...
2018-07-21 17:02:22
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