coursera optimization

This section is about overfitting, listening to the understanding of overfitting more profound than before.First introduced the overfitting, the consequence is that Ein is very small, and eout is very large. Then the causes of overfitting are

-Feature ScalingWhen we are faced with multidimensional feature problems, we need to ensure that the multidimensional features have similar scales, which will help the gradient descent algorithm to converge faster.Take the housing price forecast

-Cost functionFor the training set and our assumptions, we will consider how to determine the coefficients in the assumptions.What we are going to do now is to choose the right parameters, and the selection of parameters directly affects the

Vi. Logistic Regression (Week 3)-ClassificationIn the classification problem, what we try to predict is whether the result belongs to a certain class (for example, correct or error). Examples of classification problems include determining whether an

Anomaly Detection and Recommender SystemsThis week's programming job is divided into two parts: anomaly detection and referral system.Anomaly Detection: The essence is to use the Gaussian distribution of the sample to the special value to estimate

The origin of Neural network Considering a nonlinear classification, when the number of features is very small, the logical regression can be completed, but when the feature number becomes larger, the higher order term will be exponential growth,

Building your recurrent neural network-step by step Welcome to Course 5 ' s-A-assignment! In this assignment, you'll implement your The recurrent neural network in NumPy. Recurrent neural Networks (RNN) are very effective for Natural Language

The recent Wunda study of the five-door sequence model finally came out, I took some time, just completed the course, I have to say, Ng's fifth Class I am still very satisfied with the video and the work is very good, the job content is also very

1. How to become a better learner metaphor and analogy helps to learn without jealousy genius 1. How to become a better learner the biggest gift for your brain is exercising more. we used to think that the brain was basically stereotyped after

Many people have no idea about the optimization of web pages, and many people in the industry have little or no idea about the optimization of web pages. Speaking of my understanding of web page optimization, I once searched for "Web page optimization" topics on various search engines. The results were all articles abo

Welcome and Introductionoverviewreadinglog 9/9 videos and quiz completed; 10/29 Review; Note1.1 Welcome 1) What are machine learning? Machine learning are the science of getting compters to learn, without being

 II. Linear Regression with one Variable (Week 1)-Model representationIn the case of previous predictions of house prices, let's say that our training set of regression questions (Training set) looks like this:We use the following notation to

This week's programming work is mainly two-part content.1.k-means Clustering.2.PCA (Principle Component analys) principal component analysis.The main method is to compress the image by clustering the image, and then it is found that PCA can compress

Neural networks:learning Last week's course learned the neural network forward propagation algorithm, this week's course mainly lies in the neural network reverse renewal process. 1.1 Cost function Let's recall the value function of logistic

Deep Learning & art:neural Style Transfer Welcome to the second assignment of this week. In this assignment, you'll learn about neural Style Transfer. This algorithm is created by Gatys et al. (https://arxiv.org/abs/1508.06576). in this assignment,

ObjectiveIn this section we will delve into the main optimization methods in visual slam-graph optimization (graph-based optimization). In the next section, we describe a very popular graph optimization library: G2O.As for G2O, I wrote a document in 13, but as I deepened my understanding, I felt more dissatisfied. In t

Here is mainly divided into table design optimization and SQL statement optimization two aspects to achieve.The first is table design optimization:1. Do not exceed 8020 bytes of data row length. If it exceeds this length, the data will take up two lines to reduce the efficiency of the query.2. Do not use a string type if you can use a numeric type. String types c

Mini-project Description-rock-paper-scissors-lizard-spockRock-paper-scissors is a hand game this is played by the people. The players count to three in unison and simultaneously "throw" one of the three hand signals this correspond to rock, paper O

Mini-project description-"Guess the number" gameOne of the simplest two-player games is "Guess the number". The first player thinks of a secret number in some known range while the second player attempts to guess the number. After each guess, the

1. Open the URL https://www.coursera.org Register, then search for the course you want to study, no certificate is required for free2. If the video has been buffered or displays a black screen, you need to modify the