$ sudo apt-get update
$ sudo apt-get upgradeapt-get update - 更新最新的套件資訊
apt-get upgrade - 更新套件
Yu-Kai Huang joyhuang9473
joyhuang9473
/ CUB_googLeNet_ST_train_val.prototxt
Last active
February 3, 2017 03:40
Multi-stream architecture. Refine prototxt from https://github.com/daerduoCarey/SpatialTransformerLayer/blob/master/examples/CUB_googLeNet_ST/train_val.prototxt
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| name: "CUB_GoogleNet_ST" | |
| layer { | |
| name: "data" | |
| type: "ImageData" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| transform_param { |
joyhuang9473
/ How to install OpenCV 3.1 on Ubuntu 14.04 64bits.md
Created
October 5, 2016 09:57
— forked from MarcWang/How to install OpenCV 3.1 on Ubuntu 14.04 64bits.md
joyhuang9473
/ butterfly-2.0-arduino-error-output
Created
January 22, 2016 03:08
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| Arduino: 1.6.7 (Mac OS X), Board: "Arduino Pro or Pro Mini, ATmega328 (5V, 16 MHz)" | |
| /Users/user/Downloads/Butterfly2.0_開源資料/程式碼/MultiWii_x4_mpu6050_last_bluetooth/Serial.ino:155:0: warning: "GPS_COND" redefined [enabled by default] | |
| #define GPS_COND && (GPS_SERIAL != CURRENTPORT) | |
| ^ | |
| /Users/user/Downloads/Butterfly2.0_開源資料/程式碼/MultiWii_x4_mpu6050_last_bluetooth/Serial.ino:150:0: note: this is the location of the previous definition | |
| #define GPS_COND | |
| ^ | |
| /Users/user/Downloads/Butterfly2.0_開源資料/程式碼/MultiWii_x4_mpu6050_last_bluetooth/Serial.ino: In function 'void setup()': | |
| Serial:694: error: 'SerialOpen' was not declared in this scope |
joyhuang9473
/ coursera-stanford-machine-learning-class-week7-error-on-plotting-decision-boundary-of-svm-with-rbf-kernel.m
Last active
July 24, 2016 10:42
Version: Mac OS 10.10.5, Octave 4.0.0
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| % Octave console output | |
| error: set: unknown hggroup property Color | |
| error: called from | |
| __contour__ at line 201 column 5 | |
| contour at line 74 column 16 | |
| visualizeBoundary at line 21 column 2 | |
| ex6 at line 109 column 1 |
joyhuang9473
/ coursera-stanford-machine-learning-class-week7-train-linear-svm-for-spam-classification.m
Created
November 23, 2015 15:14
Train Linear SVM for Spam Classification (in spamTrain.mat, spamTest.mat)
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| % Octave console output | |
| Training Linear SVM (Spam Classification) | |
| (this may take 1 to 2 minutes) ... | |
| Training ...................................................................... | |
| ............................................................................... | |
| ............................................................................... | |
| ..... Done! | |
| Training Accuracy: 99.850000 |
joyhuang9473
/ coursera-stanford-machine-learning-class-week7-extracting-features-from-emails.m
Created
November 23, 2015 15:08
Extracte Features from Emails (in emailSample1.txt)
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| % Octave console output | |
| Extracting features from sample email (emailSample1.txt) | |
| ==== Processed Email ==== | |
| anyon know how much it cost to host a web portal well it depend on how mani | |
| visitor you re expect thi can be anywher from less than number buck a month | |
| to a coupl of dollarnumb you should checkout httpaddr or perhap amazon ecnumb | |
| if your run someth big to unsubscrib yourself from thi mail list send an | |
| email to emailaddr |
joyhuang9473
/ coursera-stanford-machine-learning-class-week7-preprocess-sample-email.m
Created
November 23, 2015 15:02
Preprocess sample email (in emailSample1.txt, vocab.txt)
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| % Octave console output | |
| Preprocessing sample email (emailSample1.txt) | |
| ==== Processed Email ==== | |
| anyon know how much it cost to host a web portal well it depend on how mani | |
| visitor you re expect thi can be anywher from less than number buck a month | |
| to a coupl of dollarnumb you should checkout httpaddr or perhap amazon ecnumb | |
| if your run someth big to unsubscrib yourself from thi mail list send an | |
| email to emailaddr |
joyhuang9473
/ coursera-stanford-machine-learning-class-week7-try-different-svm-parameters.m
Last active
November 23, 2015 14:51
Automatically choose optimal C and sigma based on a cross-validation set.
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| % Octave console output | |
| % C list: [0.01 0.03 0.1 0.3 1 3 10 30] | |
| % sigma list: [0.01 0.03 0.1 0.3 1 3 10 30] | |
| Training ......... Done! | |
| C: 0.010000 | |
| sigma: 0.010000 | |
| error = 0.56500 | |
| ==================== |
joyhuang9473
/ coursera-stanford-machine-learning-class-week6-test-various-values-of-lambda-and-compute-error.m
Created
November 17, 2015 07:22
Test various values of lambda and compute error
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| Iteration 200 | Cost: 1.812655e-01 | |
| Iteration 200 | Cost: 1.902681e-01 | |
| Iteration 200 | Cost: 2.527827e-01 | |
| Iteration 200 | Cost: 3.850725e-01 | |
| Iteration 200 | Cost: 6.692749e-01 | |
| Iteration 186 | Cost: 1.443470e+00 | |
| Iteration 111 | Cost: 3.101591e+00 | |
| Iteration 61 | Cost: 7.268148e+00 | |
| Iteration 33 | Cost: 1.586769e+01 | |
| Iteration 20 | Cost: 3.337220e+01 |
joyhuang9473
/ coursera-stanford-machine-learning-class-week6-compute-train-polynomial-regression-and-compute-error.m
Last active
November 17, 2015 06:48
Train polynomial regression and comput train error (m = 1 to 12) and cross validation error.
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| % Octave console output | |
| Iteration 14 | Cost: 1.232595e-32 | |
| Iteration 25 | Cost: 4.108651e-32 | |
| Iteration 11 | Cost: 3.910038e-28 | |
| Iteration 200 | Cost: 5.989594e-08 | |
| Iteration 200 | Cost: 8.797460e-04 | |
| warning: division by zero.107198e+01 | |
| Iteration 200 | Cost: 4.639732e-02 | |
| Iteration 200 | Cost: 6.939729e-02 | |
| warning: division by zero.922449e+01 |