, i.e., all of our training examples lie perfectly on some straigh T line.
If J (θ0,θ1) =0, that means the line defined by the equation "y=θ0+θ1x" perfectly fits all of our data.
For the To is true, we must has Y (i) =0 for every value of i=1,2,..., m.
So long as any of our training examples lie on a straight line, we'll be able to findθ0 andθ1 so, J (θ0,θ1) =0. It is not a necessary that Y (i) =0 for all of our examples.
We can perfectly predict the value o
-Learning RateIn the gradient descent algorithm, the number of iterations required for the algorithm convergence varies according to the model. Since we cannot predict in advance, we can plot the corresponding graphs of iteration times and cost functions to observe when the algorithm tends to converge.Of course, there are some ways to automatically detect convergence, for example, we compare the change value of a cost function with a predetermined threshold, such as 0.001, to determine convergen
-Gradient descent for linear regressionHere we apply the gradient descent algorithm to the linear regression model, we first review the gradient descent algorithm and the linear regression model:We then expand the slope of the gradient descent algorithm to the partial derivative:In most cases, the linear regression model cost function is shaped like a convex body, so the local minimum value is equivalent to the global minimum:The following is the entire convergence and parameter determination pr
-Gradient descentThe gradient descent algorithm is an algorithm for calculating the minimum value of a function, and here we will use the gradient descent algorithm to find the minimum value of the cost function.The idea of a gradient descent is that we randomly select a combination of parameters and calculate the cost function at the beginning, and then we look for the next combination of parameters that will reduce the value of the cost function.We continue this process until a local minimum (
Overview
photo OCR
problem Description and Pipeline
sliding Windows
getting Lots of data and Artificial data
ceiling analysis:what part of the Pipeline to work on Next
Review
Lecture Slides
Quiz:Application:Photo OCR
Conclusion
Summary and Thank You
Log
4/20/2017:1.1, 1.2;
Note
Ocr?
...
Coursera-machine Learning, Stanford:w
I've been procrastinating for the last time, and I'm going to keep it up today.
Programming Title #: Calculating the sum of the edge elements of a matrix
Source: POJ (Coursera statement: The exercises completed on POJ will not be counted into Coursera's final results. )
Note: Total time limit: 1000ms memory limit: 65536kB description
Enter an integer matrix to compute the sum of elements at the edge of the matrix. The elements of the so-called matrix
Week 3 Quizhelp Center
Warning:the hard deadline has passed. You can attempt it, but and you won't be. You are are welcome to try it as a learning exercise. In accordance with the Coursera Honor Code, I certify this answers here are I own work. Question 1 Assume you are using a Unigram language model to calculate the probabilities of phrases. Then, the probabilities of generating the phrases "study text mining" and "text mining study" are not equal, i
Week 3 Practice quizhelp Center
Warning:the hard deadline has passed. You can attempt it, but and you won't be. You are are welcome to try it as a learning exercise. In accordance with the Coursera Honor Code, I certify this answers here are I own work. Question 1 are given a vocabulary composed of only three words: "text", "mining", and "the". Below are the probabilities of two of this three words given by a Unigram model:
Word
Probability
Text
0.4
M
Refer to the official documentation:Http://cn.mathworks.com/help/matlab/matlab_external/get-started-with-matlab-engine-for-python.htmlUsage documentation for MATLAB Engine API:Http://cn.mathworks.com/help/matlab/matlab-engine-for-python.htmlRaw materials:1,
Http://blog.sina.com.cn/s/blog_4cf8aad30102uylf.html"Quantitative investment: to MATLAB for the tool "serial (1) Basic Article - N minutes Learn MATLAB (UP)"Quantitative investment: to MATLAB Introduction to Tools"Quantitative investment: Matlab As a tool" is a flagship subsidiary of the Electronics Industry publishing
cost function least.The algorithm is:After derivation, get:Note: Although the resulting gradient descent algorithm appears to be the same as the gradient descent algorithm for linear regression, the hypothetical function here differs from the linear regression, so it is actually different. In addition, it is still necessary to perform feature scaling before applying the gradient descent algorithm.In addition, there are some alternatives to the gradient descent algorithm:In addition to the gradi
I don't know why I wrote this log. Maybe Matlab is rarely used in Linux in the future, and this Perl and Matlab interfaces will not be used.
After the installation is complete, simply record the process.
For the installation of Matlab, please refer to the teacher's blog: http://blog.sina.com.cn/s/blog_5f0fbdee0100mfkq.html
CPAN download math-
/article/details/7738984. Global variables are introduced to try to pass parameters in another way. The biggest difference between global variables and other methods is that you don't have to worry about storing them, in other ways, you need to manually store the variable values after they are modified.
The use of global variables is very simple. You only need to declare global variables before use.
Global handles;
A handles global variable is declared here and can be called directly during use.
Python-matlabDirectory
Python-matlab engine
Python-matlab Array
Python-matlab Basic Operation
Python-matlab Call M file
The official MATLAB documentation describes the engine interface between MATLAB and
C ++ calls the matlab function and calls the matlab function
C ++ and matlab Mixed Programming -- C ++ calls MATLAB Functions
I recently engaged in an MFC-related project, requiring that the algorithm implemented by Matlab be used to create a small application through the ap
Matlab and C ++ mixed programming (dependent on OpenCV), and Matlab OpenCVMatlab and C ++ hybrid programming is actually to compile C ++ code into executable files and function interfaces that Matlab supports calling through Matlab's Mex tool. In this way, you can use the functions that have been compiled in Matlab, ev
This series of tutorials comes from the publication of the "Matlab-based programming basics and typical application books". If copyright concerns are involved, please contact [email protected]. Press: People's post and telecommunications press. The number of pages is 525.
This series of tutorials is currently based on MATLAB r2006a and may differ from functions in more advanced versions. If you have any que
From http://goodenoughcui.diandian.com/post/2011-05-22/40033743170
First, it is a book called C language and Matlab interface: programming and examples. It mainly talks about how to call C-Mex functions from MATLAB ), it introduced that MATLAB is a fully functional integrated environment for programming and data processing. It provides a large number of powerful
These days, we have just begun to learn the object-oriented programming of MATLAB. The previous thing is to use MATLAB to write some simple script or function, this aspect of MATLAB mature function and straightforward matrix operation method and syntax are easy to get started, convenient for people to focus on the algorithm itself. The first few days to write cod
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