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A PRINT ARTICLES
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A PRINT ARTICLES
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https://github.com/rstar000/super-resolution-resnet/blob/master/train.ipynb
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https://www.google.com/search?biw=1301&bih=670&ei=BO4BW6mTNIjUvgTM04LABA&q=Resnet+Blocks+super+resolution+nhancement+in+jupyter+notebook&oq=Resnet+Blocks+super+resolution+nhancement+in+jupyter+notebook&gs_l=psy-ab.3...488550.495059.0.495497.24.24.0.0.0.0.240.2696.0j16j2.18.0....0...1c.1.64.psy-ab..6.0.0....0.R7g6Yx5YA9E
https://github.com/ranjiewwen/Computer-Vision-Action/tree/f1e3426b37f3188cb78aa03fe80265c49138545e/Python%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E6%88%98_mooc/week3
https://github.com/ranjiewwen/Computer-Vision-Action/tree/f1e3426b37f3188cb78aa03fe80265c49138545e/Python%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E6%88%98_mooc/week2
https://github.com/ranjiewwen/Computer-Vision-Action/tree/f1e3426b37f3188cb78aa03fe80265c49138545e/Python%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E6%88%98_mooc/week1
https://github.com/ranjiewwen/Computer-Vision-Action/tree/f1e3426b37f3188cb78aa03fe80265c49138545e/Python%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E6%88%98_mooc
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https://github.com/ranjiewwen/Computer-Vision-Action/tree/master/Andrew%20Ng's%20coursera_deeplearning.ai/4.Convolutional%20Neural%20Networks/week2
https://github.com/ranjiewwen/Computer-Vision-Action/tree/master/Andrew%20Ng's%20coursera_deeplearning.ai/4.Convolutional%20Neural%20Networks/week3
https://github.com/ranjiewwen/Computer-Vision-Action/blob/master/Andrew%20Ng's%20coursera_deeplearning.ai/4.Convolutional%20Neural%20Networks/week4/Face%2BRecognition%2Bfor%2Bthe%2BHappy%2BHouse%2B-%2Bv3.ipynb
https://github.com/ranjiewwen/Computer-Vision-Action/tree/master/Andrew%20Ng's%20coursera_deeplearning.ai/4.Convolutional%20Neural%20Networks/week4
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https://github.com/ranjiewwen/Computer-Vision-Action/tree/f1e3426b37f3188cb78aa03fe80265c49138545e
https://github.com/ranjiewwen/Computer-Vision-Action/blob/master/Andrew%20Ng's%20coursera_deeplearning.ai/4.Convolutional%20Neural%20Networks/week1/Convolution%2Bmodel%2B-%2BApplication%2B-%2Bv1.ipynb
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https://github.com/ranjiewwen/Computer-Vision-Action/tree/master/Andrew%20Ng's%20coursera_deeplearning.ai/4.Convolutional%20Neural%20Networks
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https://github.com/ranjiewwen/Computer-Vision-Action/tree/master/Andrew%20Ng's%20coursera_deeplearning.ai
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https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=9&cad=rja&uact=8&ved=0ahUKEwih7dbXn5XbAhUjTo8KHVYkCG0QFghhMAg&url=https%3A%2F%2Farchive.org%2Fstream%2FManningDeepLearningWithPython%2FManning-Deep-Learning-with-Python-final_djvu.txt&usg=AOvVaw0Ho_prS9m1cRL15WKkm-YG
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https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=6&cad=rja&uact=8&ved=0ahUKEwih7dbXn5XbAhUjTo8KHVYkCG0QFghXMAU&url=http%3A%2F%2Fpersagen.com%2Ffiles%2Fml.html&usg=AOvVaw06SP79V8ghmiXK6tO_rmaY
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https://github.com/KaimingHe/deep-residual-networks
https://github.com/yihui-he/ResNet-tensorflow/blob/master/tryhere.ipynb
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https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=4&ved=0ahUKEwih7dbXn5XbAhUjTo8KHVYkCG0QFghEMAM&url=https%3A%2F%2Ftowardsdatascience.com%2Fdeep-learning-ii-l9-generative-models-dcd599ad6e0b&usg=AOvVaw2WBH9-KIgA67FrZFoN4fue
https://github.com/yihui-he/ResNet-tensorflow
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&cad=rja&uact=8&ved=0ahUKEwih7dbXn5XbAhUjTo8KHVYkCG0QFgg1MAI&url=https%3A%2F%2Fgithub.com%2Fyihui-he%2FResNet-tensorflow&usg=AOvVaw2Fq1BxbOgrngkw-zzYAFD-
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https://github.com/hujie-frank/SENet
https://github.com/hujie-frank/SENet/tree/master/models
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https://www.google.com/search?q=Resnet+Blocks+in+jupyter+notebook&ei=I-gBW9utJorevgTU6o7gDA&start=30&sa=N&biw=1301&bih=670
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https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=26&cad=rja&uact=8&ved=0ahUKEwiby6bDnZXbAhUKr48KHVS1A8w4FBAWCEEwBQ&url=https%3A%2F%2Fblog.keras.io%2F&usg=AOvVaw2pt8hRezyj8TlHVBQN4fkC
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https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=24&cad=rja&uact=8&ved=0ahUKEwiby6bDnZXbAhUKr48KHVS1A8w4FBAWCDYwAw&url=https%3A%2F%2Fwww.floydhub.com%2Fapi%2Fv1%2Fresources%2FE3MaSfyoUHJndYFFtoiB9A%2F%2F.ipynb_checkpoints%2Fdog_app-checkpoint.ipynb%3Fcontent%3Dtrue%26render%3Dtrue&usg=AOvVaw3cO1sEljuBQi2jexTZrikB
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https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=22&cad=rja&uact=8&ved=0ahUKEwiby6bDnZXbAhUKr48KHVS1A8w4FBAWCCkwAQ&url=https%3A%2F%2Fgluon.mxnet.io%2Fchapter08_computer-vision%2Fvisual-question-answer.html&usg=AOvVaw3n-J2xpckPnrQoYf8Na5WE
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https://books.google.co.th/books?id=-mFLDwAAQBAJ&pg=PA135&lpg=PA135&dq=Resnet+Blocks+in+jupyter+notebook&source=bl&ots=9EOgbJxiib&sig=wD_9Wry8JVfSg92jDTtBxh3imSw&hl=en&sa=X&ved=0ahUKEwiby6bDnZXbAhUKr48KHVS1A8w4FBDoAQgmMAA
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https://www.google.com/search?q=Resnet+Blocks+in+jupyter+notebook&ei=s-cBW9j6CsSHvQSdsKvYDw&start=20&sa=N&biw=1301&bih=670
https://stackoverflow.com/questions/tagged/resnet
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=20&cad=rja&uact=8&ved=0ahUKEwiYoNeNnZXbAhXEQ48KHR3YCvs4ChAWCFQwCQ&url=https%3A%2F%2Fstackoverflow.com%2Fquestions%2Ftagged%2Fresnet&usg=AOvVaw2ngzneiPVZJ0zEOux9uHOp
https://pydata.org/london2017/schedule/presentation/1/
https://books.google.co.th/books?id=bRpYDgAAQBAJ&pg=PT548&lpg=PT548&dq=Resnet+Blocks+in+jupyter+notebook&source=bl&ots=h3VEY7nK5R&sig=IYt4MQBQ2odPW0frBdWFkERQIWE&hl=en&sa=X&ved=0ahUKEwiYoNeNnZXbAhXEQ48KHR3YCvs4ChDoAQhMMAc#v=onepage&q=Resnet%20Blocks%20in%20jupyter%20notebook&f=false
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=19&cad=rja&uact=8&ved=0ahUKEwiYoNeNnZXbAhXEQ48KHR3YCvs4ChAWCE8wCA&url=https%3A%2F%2Fpydata.org%2Flondon2017%2Fschedule%2Fpresentation%2F1%2F&usg=AOvVaw37FG8pMVZ4c7FUSu77awnD
https://books.google.co.th/books?id=bRpYDgAAQBAJ&pg=PT548&lpg=PT548&dq=Resnet+Blocks+in+jupyter+notebook&source=bl&ots=h3VEY7nK5R&sig=IYt4MQBQ2odPW0frBdWFkERQIWE&hl=en&sa=X&ved=0ahUKEwiYoNeNnZXbAhXEQ48KHR3YCvs4ChDoAQhMMAc
http://forums.fast.ai/t/thread-for-blogs-just-created-one-for-resnet/7359/205?u=pierreguillou
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=15&cad=rja&uact=8&ved=0ahUKEwiYoNeNnZXbAhXEQ48KHR3YCvs4ChAWCDwwBA&url=http%3A%2F%2Fforums.fast.ai%2Ft%2Fthread-for-blogs-just-created-one-for-resnet%2F7359%2F205%3Fu%3Dpierreguillou&usg=AOvVaw318O8IeQPfNdizGap7CQrc
http://mxnet.incubator.apache.org/test/tutorials/python/predict_image.html
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=14&cad=rja&uact=8&ved=0ahUKEwiYoNeNnZXbAhXEQ48KHR3YCvs4ChAWCDcwAw&url=http%3A%2F%2Fmxnet.incubator.apache.org%2Ftest%2Ftutorials%2Fpython%2Fpredict_image.html&usg=AOvVaw12Jc5a-tZT6RBMc1fqsXC3
https://blogs.technet.microsoft.com/machinelearning/2018/01/18/deep-learning-computer-vision-in-the-microsoft-azure-cloud/
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=13&cad=rja&uact=8&ved=0ahUKEwiYoNeNnZXbAhXEQ48KHR3YCvs4ChAWCDEwAg&url=https%3A%2F%2Fblogs.technet.microsoft.com%2Fmachinelearning%2F2018%2F01%2F18%2Fdeep-learning-computer-vision-in-the-microsoft-azure-cloud%2F&usg=AOvVaw2adHBkr8T6L_OsHYbxrJhy
https://medium.com/@galen.ballew/transferlearning-b65772083b47
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=12&cad=rja&uact=8&ved=0ahUKEwiYoNeNnZXbAhXEQ48KHR3YCvs4ChAWCCswAQ&url=https%3A%2F%2Fmedium.com%2F%40galen.ballew%2Ftransferlearning-b65772083b47&usg=AOvVaw0kCru69o7MpjRD2Dq_srDZ
https://github.com/HyeonwooNoh/wide-residual-networks-iwdrop/blob/master/notebooks/visualize.ipynb
https://github.com/HyeonwooNoh/wide-residual-networks-iwdrop/tree/master/notebooks
https://www.google.com/search?q=Resnet+Blocks+in+jupyter+notebook&ei=necBW_aYJcWBvwTevrfgCw&start=10&sa=N&biw=1301&bih=670
https://www.slideshare.net/masatakanishimori/res-net
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=10&cad=rja&uact=8&ved=0ahUKEwi227KDnZXbAhXFwI8KHV7fDbwQFghfMAk&url=https%3A%2F%2Fwww.slideshare.net%2Fmasatakanishimori%2Fres-net&usg=AOvVaw2lYR555aHoO2q_leaiCJJE
https://www.kaggle.com/akumar6/complete-process-using-resnet-as-a-starting-point/code
https://www.kaggle.com/vasilkor/complete-process-using-resnet-as-a-starting-point
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=7&cad=rja&uact=8&ved=0ahUKEwi227KDnZXbAhXFwI8KHV7fDbwQFghMMAY&url=https%3A%2F%2Fwww.kaggle.com%2Fakumar6%2Fcomplete-process-using-resnet-as-a-starting-point%2Fcode&usg=AOvVaw2c342zq9Gg9xfgquCDzE8X
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=6&cad=rja&uact=8&ved=0ahUKEwi227KDnZXbAhXFwI8KHV7fDbwQFghGMAU&url=https%3A%2F%2Fwww.kaggle.com%2Fvasilkor%2Fcomplete-process-using-resnet-as-a-starting-point&usg=AOvVaw2_yncmS1cLwCbLDP5ByjxN
https://github.com/HyeonwooNoh/wide-residual-networks-iwdrop
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&cad=rja&uact=8&ved=0ahUKEwi227KDnZXbAhXFwI8KHV7fDbwQFggxMAI&url=https%3A%2F%2Fgithub.com%2FHyeonwooNoh%2Fwide-residual-networks-iwdrop&usg=AOvVaw1zp7SWchkBC-Q3Yo5o183q
https://www.google.com/search?biw=1301&bih=670&ei=kuYBW7erC4-cvQSf36KADQ&q=Resnet+Blocks+in+jupyter+notebook&oq=Resnet+Blocks+in+jupyter+notebook&gs_l=psy-ab.3...259793.264959.0.266472.15.13.2.0.0.0.434.1943.0j12j4-1.13.0....0...1c.1.64.psy-ab..0.4.684...0i7i30k1j0i20i263k1j0i8i7i30k1j0i5i30k1j0i7i5i30k1j35i39k1.0.wV_aXafSJrc
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https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=10&cad=rja&uact=8&ved=0ahUKEwi3vPCDnJXbAhUPTo8KHZ-vCNAQFghtMAk&url=https%3A%2F%2Fnews.ycombinator.com%2Fitem%3Fid%3D16764321&usg=AOvVaw32N7PNsDkpziAf_Mdx5c5K
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https://www.cgranade.com/blog/
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=7&cad=rja&uact=8&ved=0ahUKEwi3vPCDnJXbAhUPTo8KHZ-vCNAQFghbMAY&url=https%3A%2F%2Fwww.cgranade.com%2Fblog%2F&usg=AOvVaw2dpMQUqQVQ8T5DTlZw0Dwh
https://academia.stackexchange.com/questions/86399/linking-to-ancillary-material-formatted-as-jupyter-nb?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&cad=rja&uact=8&ved=2ahUKEwi3vPCDnJXbAhUPTo8KHZ-vCNAQFjAEegQIABAB&url=https%3A%2F%2Facademia.stackexchange.com%2Fquestions%2F86399%2Flinking-to-ancillary-material-formatted-as-jupyter-nb%3Futm_medium%3Dorganic%26utm_source%3Dgoogle_rich_qa%26utm_campaign%3Dgoogle_rich_qa&usg=AOvVaw2h824RZvTYLsZ5jJKjWdEF
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https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=4&cad=rja&uact=8&ved=0ahUKEwi3vPCDnJXbAhUPTo8KHZ-vCNAQFghCMAM&url=https%3A%2F%2Fgithub.com%2Fjupyter%2Fjupyter%2Fwiki%2FA-gallery-of-interesting-Jupyter-Notebooks&usg=AOvVaw2xOGZG5fThmKhFXfzUZvEH
https://github.com/topics/arxiv
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&cad=rja&uact=8&ved=0ahUKEwi3vPCDnJXbAhUPTo8KHZ-vCNAQFgg9MAI&url=https%3A%2F%2Fgithub.com%2Ftopics%2Farxiv&usg=AOvVaw3HpeLAYFKQnXP702xkblwt
https://arxiv.org/abs/1701.01222
https://arxiv.org/abs/1804.05492
http://arxiv.org/abs/1804.05492
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=0ahUKEwi3vPCDnJXbAhUPTo8KHZ-vCNAQFgg1MAE&url=http%3A%2F%2Farxiv.org%2Fabs%2F1804.05492&usg=AOvVaw1ioQAn9ARdVj88dvs2O_I6
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwi3vPCDnJXbAhUPTo8KHZ-vCNAQFggqMAA&url=https%3A%2F%2Farxiv.org%2Fabs%2F1701.01222&usg=AOvVaw3cuQRkqWEHRdAhu3J2wPQb
https://www.google.com/search?biw=1301&bih=670&ei=Z-YBW8D3F4j6vAS4n4QY&q=arixv+papers+in+jupyter+notebook&oq=arixv+papers+in+jupyter+notebook&gs_l=psy-ab.3...37435.41421.0.41701.12.12.0.0.0.0.137.1484.0j12.12.0....0...1c.1.64.psy-ab..0.1.137...0i7i30k1j0i8i7i30k1j0i8i30k1.0.TpHSX0hRI1I
http://jsideas.net/python/2017/11/26/transfer_learning_with_keras_on_floydhub.html
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=17&cad=rja&uact=8&ved=0ahUKEwiAx7zvm5XbAhUIPY8KHbgPAQM4ChAWCEQwBg&url=http%3A%2F%2Fjsideas.net%2Fpython%2F2017%2F11%2F26%2Ftransfer_learning_with_keras_on_floydhub.html&usg=AOvVaw2RHiTjF2pnUMuT3NrUOtwi
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https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=15&cad=rja&uact=8&ved=0ahUKEwiAx7zvm5XbAhUIPY8KHbgPAQM4ChAWCDkwBA&url=https%3A%2F%2Femacs.stackexchange.com%2Fquestions%2F38836%2Fhow-to-run-blocks-cells-of-python-code-in-emacs%3Frq%3D1&usg=AOvVaw3u0_bIGA9yoMjjBJi85WAU
https://pubs.cray.com/content/S-3015/2.0.UP00/urika-gx-analytic-applications-guide/access-the-jupyter-notebook-ui
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=13&cad=rja&uact=8&ved=0ahUKEwiAx7zvm5XbAhUIPY8KHbgPAQM4ChAWCC4wAg&url=https%3A%2F%2Fpubs.cray.com%2Fcontent%2FS-3015%2F2.0.UP00%2Furika-gx-analytic-applications-guide%2Faccess-the-jupyter-notebook-ui&usg=AOvVaw1h6tDft5TPB5Qfa4dklvzS
https://www.jasongowans.net/post/ipython-notebooks/
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=14&cad=rja&uact=8&ved=0ahUKEwiAx7zvm5XbAhUIPY8KHbgPAQM4ChAWCDMwAw&url=https%3A%2F%2Fwww.jasongowans.net%2Fpost%2Fipython-notebooks%2F&usg=AOvVaw1NBvNl46SeP8LdsabPqJCD
https://sebastianraschka.com/deep-learning-resources.html
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=11&cad=rja&uact=8&ved=0ahUKEwiAx7zvm5XbAhUIPY8KHbgPAQM4ChAWCCYwAA&url=https%3A%2F%2Fsebastianraschka.com%2Fdeep-learning-resources.html&usg=AOvVaw2WtOYKfRPT619Czh21rBeS
https://www.google.com/search?q=Residual+block+in+jupyter+notebook&ei=vuQBW9PWAYSBvwSJ8KfQCQ&start=10&sa=N&biw=1301&bih=670
http://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Densely_Connected_Convolutional_CVPR_2017_paper.pdf
https://github.com/IShengFang/ResNet-DenseNet-Notebook/blob/master/ResNet%26DenseNet.ipynb
https://github.com/gcr/torch-residual-networks/blob/master/Residual%20Network%20Experiment%20Results.ipynb
https://libraries.io/github/search?keywords=resnet
https://libraries.io/github/awjuliani/TF-Tutorials
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http://forums.fast.ai/t/lesson-9-assignments/1817/14
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=10&cad=rja&uact=8&ved=0ahUKEwjTrdKkmpXbAhWEwI8KHQn4CZoQFgh5MAk&url=http%3A%2F%2Fforums.fast.ai%2Ft%2Flesson-9-assignments%2F1817%2F14&usg=AOvVaw2PMtkQCD3Wuv83imZyrqSR
https://zhuanlan.zhihu.com/p/31834883
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=8&cad=rja&uact=8&ved=0ahUKEwjTrdKkmpXbAhWEwI8KHQn4CZoQFghqMAc&url=https%3A%2F%2Fzhuanlan.zhihu.com%2Fp%2F31834883&usg=AOvVaw2a6sqppSu0yPjHuEfSyyI9
http://jupyter-notebook.readthedocs.io/en/stable/examples/Notebook/Running%20Code.html
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=7&cad=rja&uact=8&ved=0ahUKEwjTrdKkmpXbAhWEwI8KHQn4CZoQFghbMAY&url=http%3A%2F%2Fjupyter-notebook.readthedocs.io%2Fen%2Fstable%2Fexamples%2FNotebook%2FRunning%2520Code.html&usg=AOvVaw3l62ManFM2oUkXzdpYODld
http://jupyter-notebook.readthedocs.io/en/stable/examples/Notebook/Working%20With%20Markdown%20Cells.html
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=6&cad=rja&uact=8&ved=0ahUKEwjTrdKkmpXbAhWEwI8KHQn4CZoQFghMMAU&url=http%3A%2F%2Fjupyter-notebook.readthedocs.io%2Fen%2Fstable%2Fexamples%2FNotebook%2FWorking%2520With%2520Markdown%2520Cells.html&usg=AOvVaw27rAC8IWr9WU1JpjDkUUFY
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https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=4&cad=rja&uact=8&ved=0ahUKEwjTrdKkmpXbAhWEwI8KHQn4CZoQFgg_MAM&url=http%3A%2F%2Fdnlcrl.github.io%2Fprojects%2F2016%2F06%2F22%2FDeep-Residual-Networks-for-Image-Classification-with-Python%2BNumPy.html&usg=AOvVaw2Zx2QRIJIfP-Bp5kzolsTe
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https://github.com/IShengFang/ResNet-DenseNet-Notebook
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=0ahUKEwjTrdKkmpXbAhWEwI8KHQn4CZoQFgg1MAE&url=https%3A%2F%2Fgithub.com%2FIShengFang%2FResNet-DenseNet-Notebook&usg=AOvVaw3vrMIQDpBNzwdW8453wNud
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https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjTrdKkmpXbAhWEwI8KHQn4CZoQFggnMAA&url=https%3A%2F%2Fgithub.com%2Fgcr%2Ftorch-residual-networks&usg=AOvVaw0JXgG1_gVGF0HRemLxIowJ
https://www.google.com/search?biw=1301&bih=670&ei=BuQBW66SFZuWvQSzsqGIDw&q=Residual+block+in+jupyter+notebook&oq=Residual+block+in+jupyter+notebook&gs_l=psy-ab.3...176579.180247.0.182129.15.15.0.0.0.0.169.1993.0j15.15.0....0...1c.1.64.psy-ab..0.1.141...0i7i30k1j0i13k1.0.RcjafUEQWU8
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https://github.com/akiduki/TensorFlow-Examples
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https://www.google.com/search?biw=1301&bih=670&ei=CtEBW-7sLIjqvgTtr5aIDw&q=psnr+in+jupyter+notebook+github&oq=psnr+in+jupyter+notebook+github&gs_l=psy-ab.3...221055.224042.0.227140.7.7.0.0.0.0.386.1321.0j5j1j1.7.0....0...1c.1.64.psy-ab..0.5.793...33i160k1j33i21k1.0.cDznjjfaBvg
https://www.reddit.com/r/MachineLearning/
https://github.com/davidsonic/Saak-Transform/blob/master/.ipynb_checkpoints/multi-stage_saak-checkpoint.ipynb
https://github.com/davidsonic/Saak-Transform/tree/master/.ipynb_checkpoints
https://github.com/davidsonic/Saak-Transform/blob/master/multi-stage_saak.ipynb
https://www.google.com/search?q=psnr+in+jupyter+notebook&ei=4dABW9nLKoauvwSwsrngDw&start=10&sa=N&biw=1301&bih=670
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https://codeboards.io/profiles/aizvorski
https://www.reddit.com/user/psnr
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=9&cad=rja&uact=8&ved=0ahUKEwiZwJ-sh5XbAhUG148KHTBZDvwQFgh3MAg&url=https%3A%2F%2Fcodeboards.io%2Fprofiles%2Faizvorski&usg=AOvVaw3a2LYARLk2cHyK9LUtd6wY
https://www.reddit.com/user/psnr?utm_source=amp&utm_medium=post_header
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=8&cad=rja&uact=8&ved=0ahUKEwiZwJ-sh5XbAhUG148KHTBZDvwQFghyMAc&url=https%3A%2F%2Fwww.reddit.com%2Fu%2Fpsnr%3Futm_source%3Damp%26utm_medium%3Dpost_header&usg=AOvVaw2VEwL2p0o-jJUDGei0O3sA
http://havohuwyfu.tk/5edf327f806.html
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https://github.com/davidsonic/Saak-Transform
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=0ahUKEwiZwJ-sh5XbAhUG148KHTBZDvwQFgg1MAE&url=https%3A%2F%2Fgithub.com%2Fdavidsonic%2FSaak-Transform&usg=AOvVaw1ykbPuKktkwKN3Eg9-yRIi
http://scikit-image.org/docs/dev/auto_examples/transform/plot_ssim.html
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwiZwJ-sh5XbAhUG148KHTBZDvwQFggnMAA&url=http%3A%2F%2Fscikit-image.org%2Fdocs%2Fdev%2Fauto_examples%2Ftransform%2Fplot_ssim.html&usg=AOvVaw3d_LzWtRRKQtFGc2Q-sClb
https://www.google.com/search?source=hp&ei=1tABW-WiOoravgSq5aXADg&q=psnr+in+jupyter+notebook&oq=PSNR+in+jupyter+&gs_l=psy-ab.3.0.33i160k1.1476.8401.0.10246.17.16.0.0.0.0.290.2414.0j14j1.15.0....0...1c.1.64.psy-ab..2.14.2252.0..0j35i39k1j0i67k1j0i131k1j0i10k1j0i20i263k1j0i22i30k1j0i22i10i30k1.0.daXduKxkAkQ
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https://github.com/sandeepnmenon/Image-Processing-Experiments/blob/master/Denoising.ipynb
https://github.com/sandeepnmenon/Image-Processing-Experiments
https://github.com/harryvineeth
https://github.com/harryvineeth/Image-Denoising-with-Convolutional-Denoising-Autoencoders/blob/master/Medical%20image%20denoising%20using%20convolutional%0Adenoising%20autoencoders.pdf
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https://github.com/harryvineeth/Image-Denoising-with-Convolutional-Denoising-Autoencoders
https://github.com/harryvineeth/Python_basics
https://github.com/harryvineeth/Artificial_Intelligence_Assignments
https://github.com/harryvineeth/Computer_Vision
https://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/master/3.%20Fully%20Connected%20Networks%20and%20Embeddings/3.1%20Hidden%20Layer%20Representation%20and%20Embeddings.ipynb
https://github.com/leriomaggio/deep-learning-keras-tensorflow/tree/master/3.%20Fully%20Connected%20Networks%20and%20Embeddings
https://github.com/leriomaggio/deep-learning-keras-tensorflow/tree/master/2.%20Deep%20Learning%20Frameworks
https://github.com/sandeepnmenon/Image-Denoising-with-Deep-CNN/tree/master/src
https://github.com/sandeepnmenon/Computer-Vision-Assignments/tree/master/assignment2
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https://github.com/sandeepnmenon/Machine-Learning-Experiments/tree/master/Melanoma
https://github.com/sandeepnmenon/Image-Denoising-with-Deep-CNN
https://github.com/sandeepnmenon/Scene-Change-Detection
https://github.com/sandeepnmenon/Computer-Vision-Assignments
https://github.com/sandeepnmenon/Machine-Learning-Experiments
https://github.com/sandeepnmenon/Image-Denoising-with-Convolutional-Denoising-Autoencoders
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https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=15&cad=rja&uact=8&ved=0ahUKEwjEnKy4hJXbAhWLro8KHTqdD-04ChAWCD4wBA&url=https%3A%2F%2Fgithub.com%2Fharryvineeth%3Ftab%3Drepositories&usg=AOvVaw3hDEf-R69vb3fwytn7Zhvi
https://github.com/luispedro/python-image-tutorial