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Robotic Learning Cornerstone (Machine learning foundations) ml Cornerstone handwritten notes Daquan

Hello everyone, I am mac Jiang. See everyone's support for my blog, very touched. Today I am sharing my handwritten notes while learning the cornerstone of machine learning. When I was studying, I wrote down something that I thought was important, one for the sake of deepening the impression, and the other for the later review.Online machine learning Cornerstone Notes

Learning notes TF024: TensorFlow achieves Softmax Regression (Regression) Recognition of handwritten numbers

Learning notes TF024: TensorFlow achieves Softmax Regression (Regression) Recognition of handwritten numbersTensorFlow implements Softmax Regression (Regression) to recognize handwritten numbers. MNIST (Mixed National Institute of Standards and Technology database), simple machine vision dataset, 28x28 pixels handwritten

Python Scikit-learn Learning notes-handwritten numerals recognition

function, except kernel= ' sigmoid ' effect is poor, the other effect is not very different.Then there is the training and testing session, where it divides all the data into two parts. Half to do the training set, half to do the test set.Let's talk about the parameters of the test here. The first is Precision,recall,F1-score, support these four parameters.F1-score is through Precision,recall the two are counted. formulas such as:Support is the supporting degree, which indicates the number of

Learning notes TF024: TensorFlow achieves Softmax Regression (Regression) Recognition of handwritten numbers, tf024softmax

Learning notes TF024: TensorFlow achieves Softmax Regression (Regression) Recognition of handwritten numbers, tf024softmax TensorFlow implements Softmax Regression (Regression) to recognize handwritten numbers. MNIST (Mixed National Institute of Standards and Technology database), simple machine vision dataset, 28x28 pixels h

Learning notes TF020: Sequence Annotation, handwritten lowercase letter OCR dataset, bidirectional RNN, tf020rnn

Learning notes TF020: Sequence Annotation, handwritten lowercase letter OCR dataset, bidirectional RNN, tf020rnn Sequence labeling, which predicts a category for each frame of the input sequence. OCR (Optical Character Recognition ). MIT oral Systems Research Group Rob Kassel collection, Stanford University Artificial Intelligence Laboratory Ben Taskar pre-processing OCR dataset (http://ai.stanford.edu /~ B

Shell programming (handwritten notes)

#let command is a tool for calculations in BASH that executes one or more expressions and does not need to be added to a variable in the calculation of variables. Self-add operation: let no++ self-subtraction operation: let no--#方式三DoneCase Case inch 12) Command1 command2 ... commandn;; Esac8. Use of functionsAll functions must be defined before they are used. This means that the function must be placed at the beginning of the script until the shell interpreter discovers it for the first time

Machine learning Practical notes--handwritten recognition system based on KNN algorithm

,:] = Img2vector (' trainingdigits/%s '% filenamestr) testfilelist = Listdir (' testdigits ') #iterate through T He test set errorcount = 0.0 mtest = Len (testfilelist) for I in Range (mtest): Filenamestr = Testfilelist[i ] Filestr = Filenamestr.split ('. ') [0] #take off. txt classnumstr = int (Filestr.split ('_') [0]) Vectorundertest = Img2vector (' testdigits/%s ' % filenamestr) Classifierresult = Classify0 (Vectorundertest, Trainingmat, Hwlabels, 3) print "The Classifie R came back with:%d,

PHP with handwritten notes built-in function date

"); - EchoGet_time_diff (); - EchoGet_time_diff (Mktime(0,0,0,1,2,1970)); - EchoGet_time_diff (Mktime(0,0,0,12,8,2017),Mktime(0,0,0,12,5,2017)); - - Echo"; in - functionCalendar$time=0){ to $time=$time>0?$time: Time(); + - $days=Date("T",$time);//total days of the month the * $first _day=Date("W",Mktime(0,0,0,Date("N",$time), 1,Date("Y",$time)));//Day 1th of the month is the day of the week $ Panax Notoginseng $rows=Ceil(($days+$first _day)/7);//number of rows in the dynamic

Android Database Backup restores Development notes of an Android tablet project-scheduled task backup

For details, refer to the Development notes of an Android tablet project-scheduled task backup Create a class to inherit from asynctask Public class backuptask extends asynctask // Obtain the path of the database in use. My path is/dlion/db_dlion.db under the sdcard directory.// The default path is/data/(package name)/databases /*. DB file dbfile = mcontext. getdatabasepath (environment. getexternalstoraged

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