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conclusion

Learning pinyin is standard among native-speaking and non-native-speaking learners alike. That alone says something about how useful it can be!

Chinese is a tonal language. That means how you say things determines the meaning of what you’re saying. The importance of tones cannot be understated. For someone new to the language it can be incredibly difficult to detect tonality in someone’s speech. It can be so hard that new learners believe the differences must make little difference to meaning and put their attention elsewhere. Believe me, the differences are not minor, and you MUST pay attention to tones. That’s why you should learn pinyin.

tones lag

When people can demonstrate their potential, the possibilities are endless.
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gjpicker / install_opencv4.01_from_source.sh
Last active February 15, 2019 06:25
cmake opencv_4.0.1
cmake -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.0.1/modules \
-D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D INSTALL_C_EXAMPLES=OFF \
-D PYTHON_EXECUTABLE=$(which python2) \
-D PYTHON3_EXECUTABLE=$(which python3) \
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gjpicker / pytorch_elf_install.md
Created November 30, 2018 06:10
pytorch ELF install in GCC 4.8

#step1 install gcc8.1 follow this site install_gcc8.1 #step 2 follow ELF offical install instruction ,stop before "make"

#step 3 export some env info

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gjpicker / imgs_caricature_urllist.json
Last active November 8, 2018 02:16
crawler_img_list_from_pinterest_com
["https://i.pinimg.com/736x/97/da/0e/97da0ed3f6935c6ac48bde9568655888.jpg", "https://i.pinimg.com/736x/0b/5a/47/0b5a4721acd89550bfde5dc45eee0470.jpg", "https://i.pinimg.com/736x/52/53/29/525329ea21b89d4d1a5e8847a15183c2.jpg", "https://i.pinimg.com/736x/10/ad/c2/10adc2b3807f3208d3e06414ab89cf2e.jpg", "https://i.pinimg.com/736x/57/ea/88/57ea88bfdafd552103547de183e5fcdc.jpg", "https://i.pinimg.com/736x/2b/1e/ba/2b1eba2b915da6437ea728a233d613d2.jpg", "https://i.pinimg.com/736x/d0/a3/39/d0a3390ac67b1912ea0b7bbe8da3849d.jpg", "https://i.pinimg.com/736x/ef/a7/08/efa708ce603503857d1bcac3e631cc59.jpg", "https://i.pinimg.com/736x/e5/40/85/e540856ea7f25c1c23efaf95402f2fcc.jpg", "https://i.pinimg.com/736x/58/b8/6c/58b86c64fc59ceb179a7ea21873be8c0.jpg", "https://i.pinimg.com/736x/4e/c4/a3/4ec4a32fb37cebeb81cd4727e6d38fec.jpg", "https://i.pinimg.com/736x/15/2d/c6/152dc623bfabb84530e6e4daa91cf646.jpg", "https://i.pinimg.com/736x/9f/9b/1b/9f9b1bac7f82aefe89234328f6a67428.jpg", "https://i.pinimg.com/736x/07/80/35/07803560114c
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gjpicker / gist:6bf0b010784add8ed3d24f851075ba0c
Created October 25, 2018 05:57
some interesting gist about GAN
http://www.gatsby.ucl.ac.uk/~balaji/Understanding-GANs.pdf
compare GAN with VAE and Classic Probabilistic ML
some application practise of GAN ,like Wasserstein GAN
some research directions