{"cells":[{"metadata":{},"cell_type":"markdown","source":"## My GitHub repository: [harupy/kernel-profiler](https://github.com/harupy/kernel-profiler) automatically updates this notebook by using [GitHub Actions](https://github.com/features/actions) and [Kaggle API](https://github.com/Kaggle/kaggle-api). Any feedback would be appreciated.\n## Last Updated: 2020/04/25 00:05:56 (UTC)\n\n
\n\n# [FlowerTPUwin](https://www.kaggle.com/hatemamine/flowertpuwin)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[hatem amine](https://www.kaggle.com/hatemamine)|\n|Language|Py|\n|Best Score|0.96739|\n|Votes|19|\n|Medal|\"medal\"|\n|Comments|0|\n|Last Updated|20d ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 7|0.96344|20 days ago|2.0 h|+2|-2|[Open](https://www.kaggle.com/hatemamine/flowertpuwin?scriptVersionId=31424052)|\n|Version 5|0.94388|21 days ago|2.2 h|+5|-4|[Open](https://www.kaggle.com/hatemamine/flowertpuwin?scriptVersionId=31398416)|\n|Version 4|0.95039|21 days ago|2.3 h|+60|-7|[Open](https://www.kaggle.com/hatemamine/flowertpuwin?scriptVersionId=31384733)|\n|Version 3|0.96739|21 days ago|2.0 h|0|0|[Open](https://www.kaggle.com/hatemamine/flowertpuwin?scriptVersionId=31379229)|\n|Forked from|0.9662|a month ago|1.9 h|0|0|[Open](https://www.kaggle.com/luonganhtuan93/ensemble-enet-b7-and-densenet201)|\n\n
\n\n# [Ensemble ENet B7 and DenseNet201 ](https://www.kaggle.com/luonganhtuan93/ensemble-enet-b7-and-densenet201)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[Tuấn Lương](https://www.kaggle.com/luonganhtuan93)|\n|Language|Py|\n|Best Score|0.9662|\n|Votes|11|\n|Medal|\"medal\"|\n|Comments|1|\n|Last Updated|1mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 1|0.9662|a month ago|1.9 h|+411|0|[Open](https://www.kaggle.com/luonganhtuan93/ensemble-enet-b7-and-densenet201?scriptVersionId=30598535)|\n\n
\n\n# [Flower Classification Ensemble](https://www.kaggle.com/sebastiankoenig/flower-classification-ensemble)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[Sebastian Koenig](https://www.kaggle.com/sebastiankoenig)|\n|Language|Py|\n|Best Score|0.96552|\n|Votes|19|\n|Medal|\"medal\"|\n|Comments|5|\n|Last Updated|1mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 19|0.95434|a month ago|2.2 h|+1|-1|[Open](https://www.kaggle.com/sebastiankoenig/flower-classification-ensemble?scriptVersionId=30196459)|\n|Version 16|0.95175|a month ago|1.6 h|+1|-1|[Open](https://www.kaggle.com/sebastiankoenig/flower-classification-ensemble?scriptVersionId=30128087)|\n|Version 10|0.9648|a month ago|1.7 h|+11|-55|[Open](https://www.kaggle.com/sebastiankoenig/flower-classification-ensemble?scriptVersionId=30039548)|\n|Version 7|0.96552|2 months ago|2.0 h|+32|-27|[Open](https://www.kaggle.com/sebastiankoenig/flower-classification-ensemble?scriptVersionId=29771674)|\n|Version 5|0.95873|2 months ago|1.7 h|+1|-1|[Open](https://www.kaggle.com/sebastiankoenig/flower-classification-ensemble?scriptVersionId=29768378)|\n|Version 4|0.94785|2 months ago|54.5 m|+9|-7|[Open](https://www.kaggle.com/sebastiankoenig/flower-classification-ensemble?scriptVersionId=29766261)|\n|Version 2|0.95142|2 months ago|1.0 h|+5|-5|[Open](https://www.kaggle.com/sebastiankoenig/flower-classification-ensemble?scriptVersionId=29663905)|\n|Version 1|0.91972|2 months ago|38.2 m|+379|0|[Open](https://www.kaggle.com/sebastiankoenig/flower-classification-ensemble?scriptVersionId=29662458)|\n\n
\n\n# [Flower Classification - ENet B7 + DenseNet](https://www.kaggle.com/jagannathrk/flower-classification-enet-b7-densenet)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[Kranti Kumar](https://www.kaggle.com/jagannathrk)|\n|Language|Py|\n|Best Score|0.96551|\n|Votes|4|\n|Medal|-|\n|Comments|0|\n|Last Updated|1mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 1|0.96551|a month ago|1.5 h|0|0|[Open](https://www.kaggle.com/jagannathrk/flower-classification-enet-b7-densenet?scriptVersionId=29951454)|\n|Forked from|0.96509|2 months ago|1.5 h|0|0|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet)|\n\n
\n\n# [Flower Classification with DenseNet201 + ENetB7](https://www.kaggle.com/ar2017/flower-classification-with-densenet201-enetb7)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[AndikaRachman](https://www.kaggle.com/ar2017)|\n|Language|Py|\n|Best Score|0.96531|\n|Votes|5|\n|Medal|-|\n|Comments|0|\n|Last Updated|12d ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 10|0.96531|12 days ago|2.0 h|+2|-3|[Open](https://www.kaggle.com/ar2017/flower-classification-with-densenet201-enetb7?scriptVersionId=31917838)|\n|Version 9|0.96322|12 days ago|2.0 h|0|0|[Open](https://www.kaggle.com/ar2017/flower-classification-with-densenet201-enetb7?scriptVersionId=31910677)|\n\n
\n\n# [104 Flowers: Direct Submission](https://www.kaggle.com/msheriey/104-flowers-direct-submission)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[Mourad](https://www.kaggle.com/msheriey)|\n|Language|Py|\n|Best Score|0.96523|\n|Votes|6|\n|Medal|-|\n|Comments|0|\n|Last Updated|2mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 4|0.96523|2 months ago|9.6 s|+1|-1|[Open](https://www.kaggle.com/msheriey/104-flowers-direct-submission?scriptVersionId=28647305)|\n\n
\n\n# [TPU: ENet B7 + DenseNet](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[Wojtek Rosa](https://www.kaggle.com/wrrosa)|\n|Language|Py|\n|Best Score|0.96523|\n|Votes|89|\n|Medal|\"medal\"|\n|Comments|8|\n|Last Updated|2mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 28|0.96509|2 months ago|1.5 h|0|0|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=29569034)|\n|Version 27|0.96152|2 months ago|1.5 h|+24|-20|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=29564824)|\n|Version 26|0.96343|2 months ago|1.5 h|0|0|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=29445941)|\n|Version 25|0.96412|2 months ago|1.5 h|+7|-5|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=29443514)|\n|Version 24|0.9594|2 months ago|1.4 h|+5|-3|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=29440464)|\n|Version 23|0.96137|2 months ago|1.5 h|+78|-8|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=29206000)|\n|Version 22|0.96008|2 months ago|1.4 h|+16|-6|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=29184881)|\n|Version 21|0.96049|2 months ago|1.4 h|+9|-4|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=29157718)|\n|Version 20|0.95948|2 months ago|1.4 h|+4|-1|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=29113946)|\n|Version 19|0.96242|2 months ago|1.4 h|+15|-4|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=29044695)|\n|Version 18|0.95658|2 months ago|1.3 h|+44|-3|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28946943)|\n|Version 17|0.95931|2 months ago|1.3 h|+84|-2|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28899010)|\n|Version 16|0.96129|2 months ago|1.4 h|+4|-2|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28836632)|\n|Version 15|0.96309|2 months ago|1.4 h|+6|-2|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28811150)|\n|Version 13|0.96044|2 months ago|1.4 h|+9|-7|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28793775)|\n|Version 12|0.96056|2 months ago|1.4 h|+3|-1|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28777356)|\n|Version 11|0.96256|2 months ago|1.4 h|+5|-3|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28759373)|\n|Version 10|0.96114|2 months ago|1.4 h|+5|-3|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28754939)|\n|Version 9|0.95955|2 months ago|1.4 h|+5|-3|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28738771)|\n|Version 8|0.96059|2 months ago|1.4 h|+3|-1|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28734881)|\n|Version 7|0.96523|2 months ago|1.4 h|+2|-2|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28547367)|\n|Version 5|0.95784|2 months ago|1.3 h|+26|-6|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28544041)|\n|Version 4|0.96049|2 months ago|1.4 h|+69|-29|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28540122)|\n|Version 3|0.95083|2 months ago|1.3 h|+2|0|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28525338)|\n|Version 2|0.95388|2 months ago|1.3 h|+44|-2|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28518792)|\n|Version 1|0.95556|2 months ago|1.5 h|+43|-8|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet?scriptVersionId=28511135)|\n\n
\n\n# [kernel4fcb503f8e](https://www.kaggle.com/jd81197/kernel4fcb503f8e)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[JayDeep](https://www.kaggle.com/jd81197)|\n|Language|Py|\n|Best Score|0.96487|\n|Votes|2|\n|Medal|-|\n|Comments|1|\n|Last Updated|2mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 2|0.96487|2 months ago|1.5 h|+134|0|[Open](https://www.kaggle.com/jd81197/kernel4fcb503f8e?scriptVersionId=29460023)|\n\n
\n\n# [Kernel mashup](https://www.kaggle.com/volody/kernel-mashup)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[volody](https://www.kaggle.com/volody)|\n|Language|Py|\n|Best Score|0.96487|\n|Votes|6|\n|Medal|-|\n|Comments|2|\n|Last Updated|4d ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 94|0.95352|4 days ago|2.1 h|+4|-4|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=32382910)|\n|Version 90|0.94332|7 days ago|1.5 h|+1|-1|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=32211663)|\n|Version 87|0.94596|10 days ago|1.6 h|+4|-4|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31991023)|\n|Version 84|0.94291|11 days ago|1.6 h|+42|-42|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31962866)|\n|Version 83|0.96026|11 days ago|2.9 h|+31|-5|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31956037)|\n|Version 82|0.96088|13 days ago|2.9 h|+1|-3|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31846719)|\n|Version 80|0.96487|13 days ago|2.9 h|+2|-2|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31828490)|\n|Version 79|0.96428|14 days ago|2.8 h|0|0|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31787371)|\n|Version 73|0.96308|18 days ago|2.7 h|+10|-2|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31549710)|\n|Version 72|0.95937|18 days ago|2.8 h|+10|-9|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31540242)|\n|Version 71|0.96089|19 days ago|2.8 h|+1|-1|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31495850)|\n|Version 70|0.95476|19 days ago|2.0 h|+27|-31|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31491409)|\n|Version 69|0.95748|20 days ago|2.8 h|+11|-4|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31435524)|\n|Version 67|0.95972|20 days ago|2.6 h|+3|-3|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31410993)|\n|Version 66|0.96336|21 days ago|2.5 h|+7|-4|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31394107)|\n|Version 65|0.95815|21 days ago|1.8 h|+2|-2|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31361648)|\n|Version 64|0.95952|22 days ago|1.8 h|+60|-28|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31334843)|\n|Version 63|0.95807|22 days ago|1.9 h|+2|-2|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31317754)|\n|Version 62|0.95939|22 days ago|1.8 h|+4|-4|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31312072)|\n|Version 61|0.9575|23 days ago|1.8 h|+30|-18|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31287279)|\n|Version 59|0.92032|24 days ago|46.7 m|+30|-26|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31225930)|\n|Version 52|0.94789|25 days ago|2.9 h|0|0|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31138669)|\n|Version 49|0.94319|a month ago|2.2 h|+11|-4|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31093592)|\n|Version 46|0.94866|a month ago|53.9 m|+277|-185|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=31075751)|\n|Version 45|0.95484|a month ago|1.4 h|+5|-5|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30908706)|\n|Version 44|0.9537|a month ago|2.4 h|+3|-2|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30844290)|\n|Version 42|0.95353|a month ago|1.4 h|+2|-2|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30825468)|\n|Version 41|0.95367|a month ago|2.1 h|+12|-12|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30785231)|\n|Version 40|0.94159|a month ago|54.3 m|+60|-23|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30779484)|\n|Version 39|0.95186|a month ago|1.4 h|+14|-9|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30746111)|\n|Version 38|0.95444|a month ago|1.4 h|+1|-1|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30721361)|\n|Version 37|0.91321|a month ago|40.4 m|+2|-6|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30718472)|\n|Version 36|0.91186|a month ago|39.9 m|+11|-7|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30716106)|\n|Version 35|0.95664|a month ago|1.1 h|+5|-5|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30713281)|\n|Version 34|0.95319|a month ago|1.8 h|0|-1|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30707176)|\n|Version 31|0.95548|a month ago|1.3 h|+4|-4|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30659824)|\n|Version 30|0.95043|a month ago|59.3 m|+34|-15|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30657542)|\n|Version 29|0.93738|a month ago|55.1 m|+8|-7|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30654863)|\n|Version 28|0.93576|a month ago|40.5 m|+10|-9|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30651663)|\n|Version 27|0.9266|a month ago|37.8 m|+118|-77|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30645941)|\n|Version 26|0.86696|a month ago|27.5 m|+26|-6|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30641149)|\n|Version 25|0.90704|a month ago|29.4 m|+1|-14|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30601074)|\n|Version 24|0.92196|a month ago|27.1 m|+94|-28|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=30600140)|\n|Version 23|0.91786|2 months ago|25.7 m|+28|-17|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=29773256)|\n|Version 20|0.91346|2 months ago|16.4 m|+5|-3|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=29136217)|\n|Version 18|0.91586|2 months ago|26.8 m|+7|-10|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=29119858)|\n|Version 17|0.90639|2 months ago|50.8 m|+2|-2|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=29113192)|\n|Version 16|0.91501|2 months ago|47.2 m|+1|-1|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=29110629)|\n|Version 15|0.92295|2 months ago|27.1 m|+58|-48|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=29108350)|\n|Version 13|0.86|2 months ago|11.8 m|+3|-3|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=29038295)|\n|Version 11|0.78953|2 months ago|5.1 m|+1|0|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=28975669)|\n|Version 10|0.7689|2 months ago|4.9 m|+5|-4|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=28934408)|\n|Version 9|0.4256|2 months ago|9.4 m|+10|-6|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=28923765)|\n|Version 8|0.51702|2 months ago|8.5 m|+74|-35|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=28923331)|\n|Version 7|0.5246|2 months ago|5.2 m|+2|-2|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=28916249)|\n|Version 6|0.17368|2 months ago|3.5 m|+1|-1|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=28886371)|\n|Version 5|0.34761|2 months ago|3.3 m|+44|-21|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=28886111)|\n|Version 4|0.37914|2 months ago|2.3 m|+12|-8|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=28885731)|\n|Version 3|0.20153|2 months ago|5.4 m|+11|-6|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=28826701)|\n|Version 2|0.29048|2 months ago|10.0 m|+17|-11|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=28812867)|\n|Version 1|0.24821|2 months ago|5.4 m|+252|0|[Open](https://www.kaggle.com/volody/kernel-mashup?scriptVersionId=28811560)|\n\n
\n\n# [Getting started with 100+ flowers on TPU](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[fanjiawei](https://www.kaggle.com/fanjiawei)|\n|Language|Py|\n|Best Score|0.96362|\n|Votes|1|\n|Medal|-|\n|Comments|1|\n|Last Updated|This Notebook has collaborators.|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 28|0.95813|a month ago|1.8 h|+3|-3|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=29983271)|\n|Version 27|0.95948|a month ago|1.2 h|+7|-7|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=29980282)|\n|Version 26|0.95955|2 months ago|1.8 h|+35|-15|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=29865057)|\n|Version 24|0.95523|2 months ago|1.6 h|+5|-3|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=29828839)|\n|Version 23|0.95639|2 months ago|1.3 h|+1|-1|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=29823442)|\n|Version 20|0.95972|2 months ago|1.3 h|+4|-2|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=29670028)|\n|Version 18|0.95926|2 months ago|1.8 h|+210|-131|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=29623416)|\n|Version 17|0.95668|2 months ago|2.8 h|+10|-10|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=29144467)|\n|Version 14|0.95792|2 months ago|1.7 h|+35|-34|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=29098586)|\n|Version 13|0.96189|2 months ago|2.6 h|+33|-33|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=29091756)|\n|Version 12|0.95734|2 months ago|1.8 h|0|0|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=29086342)|\n|Version 8|0.96043|2 months ago|1.5 h|+32|-31|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=29055320)|\n|Version 6|0.96067|2 months ago|2.4 h|+2|-2|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=29048201)|\n|Version 3|0.96362|2 months ago|2.0 h|+79|-72|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=28998361)|\n|Version 1|0.95287|2 months ago|1.3 h|+118|-31|[Open](https://www.kaggle.com/fanjiawei/getting-started-with-100-flowers-on-tpu?scriptVersionId=28961712)|\n\n
\n\n# [Flowers on TPU: Ensemble + LR schedule](https://www.kaggle.com/msheriey/flowers-on-tpu-ensemble-lr-schedule)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[Mourad](https://www.kaggle.com/msheriey)|\n|Language|Py|\n|Best Score|0.96338|\n|Votes|41|\n|Medal|\"medal\"|\n|Comments|10|\n|Last Updated|2mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 10|0.96295|2 months ago|1.4 h|+2|-2|[Open](https://www.kaggle.com/msheriey/flowers-on-tpu-ensemble-lr-schedule?scriptVersionId=28983405)|\n|Version 7|0.96338|2 months ago|1.4 h|+2|0|[Open](https://www.kaggle.com/msheriey/flowers-on-tpu-ensemble-lr-schedule?scriptVersionId=28529286)|\n|Version 5|0.93699|2 months ago|33.8 m|+2|-1|[Open](https://www.kaggle.com/msheriey/flowers-on-tpu-ensemble-lr-schedule?scriptVersionId=28524827)|\n|Version 3|0.95819|2 months ago|1.3 h|+3|-3|[Open](https://www.kaggle.com/msheriey/flowers-on-tpu-ensemble-lr-schedule?scriptVersionId=28521573)|\n|Forked from|0.96509|2 months ago|1.3 h|0|0|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet)|\n\n
\n\n# [Flowers on TPU II](https://www.kaggle.com/mmmarchetti/flowers-on-tpu-ii)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[Marcos Martins Marchetti](https://www.kaggle.com/mmmarchetti)|\n|Language|Py|\n|Best Score|0.96322|\n|Votes|33|\n|Medal|\"medal\"|\n|Comments|6|\n|Last Updated|2mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 10|0.96322|2 months ago|2.0 h|+205|-48|[Open](https://www.kaggle.com/mmmarchetti/flowers-on-tpu-ii?scriptVersionId=28549056)|\n|Version 8|0.94347|2 months ago|1.7 h|0|0|[Open](https://www.kaggle.com/mmmarchetti/flowers-on-tpu-ii?scriptVersionId=28502886)|\n|Version 6|0.60886|2 months ago|23.5 m|+354|-278|[Open](https://www.kaggle.com/mmmarchetti/flowers-on-tpu-ii?scriptVersionId=28472703)|\n|Version 3|0.35713|5 months ago|9.6 m|0|-16|[Open](https://www.kaggle.com/mmmarchetti/flowers-on-tpu-ii?scriptVersionId=24250431)|\n|Version 2|0.3217|5 months ago|12.6 m|0|0|[Open](https://www.kaggle.com/mmmarchetti/flowers-on-tpu-ii?scriptVersionId=24228313)|\n|Version 1|0.3217|5 months ago|12.1 m|0|0|[Open](https://www.kaggle.com/mmmarchetti/flowers-on-tpu-ii?scriptVersionId=24222391)|\n|Forked from|0.3217|5 months ago|9.8 m|0|0|[Open](https://www.kaggle.com/abazdyrev/use-features-oof)|\n\n
\n\n# [ENet B7 + DenseNet with TTA](https://www.kaggle.com/gskdhiman/enet-b7-densenet-with-tta)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[Gursewak Dhiman](https://www.kaggle.com/gskdhiman)|\n|Language|Py|\n|Best Score|0.96315|\n|Votes|11|\n|Medal|\"medal\"|\n|Comments|3|\n|Last Updated|2mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 15|0.95937|2 months ago|1.6 h|+6|-5|[Open](https://www.kaggle.com/gskdhiman/enet-b7-densenet-with-tta?scriptVersionId=29407194)|\n|Version 10|0.95743|2 months ago|1.6 h|+7|-5|[Open](https://www.kaggle.com/gskdhiman/enet-b7-densenet-with-tta?scriptVersionId=28921549)|\n|Version 9|0.96161|2 months ago|1.6 h|+3|-1|[Open](https://www.kaggle.com/gskdhiman/enet-b7-densenet-with-tta?scriptVersionId=28865177)|\n|Version 7|0.95798|2 months ago|1.6 h|+8|-4|[Open](https://www.kaggle.com/gskdhiman/enet-b7-densenet-with-tta?scriptVersionId=28809626)|\n|Version 6|0.96168|2 months ago|1.6 h|+2|-2|[Open](https://www.kaggle.com/gskdhiman/enet-b7-densenet-with-tta?scriptVersionId=28805079)|\n|Version 5|0.9593|2 months ago|1.6 h|+8|-1|[Open](https://www.kaggle.com/gskdhiman/enet-b7-densenet-with-tta?scriptVersionId=28804095)|\n|Version 4|0.96315|2 months ago|1.6 h|+2|0|[Open](https://www.kaggle.com/gskdhiman/enet-b7-densenet-with-tta?scriptVersionId=28750320)|\n|Version 3|0.96207|2 months ago|1.6 h|0|0|[Open](https://www.kaggle.com/gskdhiman/enet-b7-densenet-with-tta?scriptVersionId=28704360)|\n\n
\n\n# [TPU: ENet B7 + Xception+Densnet201](https://www.kaggle.com/anyexiezouqu/tpu-enet-b7-xception-densnet201)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[lixiangyang](https://www.kaggle.com/anyexiezouqu)|\n|Language|Py|\n|Best Score|0.9619|\n|Votes|14|\n|Medal|\"medal\"|\n|Comments|4|\n|Last Updated|2mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 17|0.95376|2 months ago|2.1 h|+48|-13|[Open](https://www.kaggle.com/anyexiezouqu/tpu-enet-b7-xception-densnet201?scriptVersionId=29177607)|\n|Version 16|0.96053|2 months ago|2.0 h|+15|-18|[Open](https://www.kaggle.com/anyexiezouqu/tpu-enet-b7-xception-densnet201?scriptVersionId=29097054)|\n|Version 15|0.9613|2 months ago|1.6 h|+1|-1|[Open](https://www.kaggle.com/anyexiezouqu/tpu-enet-b7-xception-densnet201?scriptVersionId=29039094)|\n|Version 13|0.95751|2 months ago|1.5 h|+9|-20|[Open](https://www.kaggle.com/anyexiezouqu/tpu-enet-b7-xception-densnet201?scriptVersionId=29034367)|\n|Version 11|0.95908|2 months ago|1.6 h|+2|-2|[Open](https://www.kaggle.com/anyexiezouqu/tpu-enet-b7-xception-densnet201?scriptVersionId=28819857)|\n|Version 10|0.9599|2 months ago|1.0 h|+7|-6|[Open](https://www.kaggle.com/anyexiezouqu/tpu-enet-b7-xception-densnet201?scriptVersionId=28803634)|\n|Version 9|0.9619|2 months ago|1.5 h|+4|-4|[Open](https://www.kaggle.com/anyexiezouqu/tpu-enet-b7-xception-densnet201?scriptVersionId=28793136)|\n|Version 8|0.94233|2 months ago|2.7 h|+4|-4|[Open](https://www.kaggle.com/anyexiezouqu/tpu-enet-b7-xception-densnet201?scriptVersionId=28780059)|\n|Version 6|0.96042|2 months ago|2.2 h|+9|-5|[Open](https://www.kaggle.com/anyexiezouqu/tpu-enet-b7-xception-densnet201?scriptVersionId=28763827)|\n|Version 5|0.9551|2 months ago|1.8 h|+10|-4|[Open](https://www.kaggle.com/anyexiezouqu/tpu-enet-b7-xception-densnet201?scriptVersionId=28746669)|\n|Version 3|0.95982|2 months ago|1.5 h|+42|-5|[Open](https://www.kaggle.com/anyexiezouqu/tpu-enet-b7-xception-densnet201?scriptVersionId=28734127)|\n|Version 1|0.96143|2 months ago|1.4 h|0|0|[Open](https://www.kaggle.com/anyexiezouqu/tpu-enet-b7-xception-densnet201?scriptVersionId=28720894)|\n|Forked from|0.96509|2 months ago|1.4 h|0|0|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet)|\n\n
\n\n# [TPU: ENet B7 + DenseNet](https://www.kaggle.com/shank885/tpu-enet-b7-densenet)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[Shashank Shekhar](https://www.kaggle.com/shank885)|\n|Language|Py|\n|Best Score|0.96182|\n|Votes|0|\n|Medal|-|\n|Comments|0|\n|Last Updated|2mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 9|0.95695|2 months ago|2.3 h|+422|-267|[Open](https://www.kaggle.com/shank885/tpu-enet-b7-densenet?scriptVersionId=29444329)|\n|Version 8|0.96084|2 months ago|2.4 h|+196|-169|[Open](https://www.kaggle.com/shank885/tpu-enet-b7-densenet?scriptVersionId=29347585)|\n|Version 4|0.94786|2 months ago|1.2 h|+52|-51|[Open](https://www.kaggle.com/shank885/tpu-enet-b7-densenet?scriptVersionId=29184539)|\n|Version 3|0.95064|2 months ago|1.6 h|+9|-4|[Open](https://www.kaggle.com/shank885/tpu-enet-b7-densenet?scriptVersionId=28865878)|\n|Version 2|0.96182|2 months ago|1.5 h|+7|-7|[Open](https://www.kaggle.com/shank885/tpu-enet-b7-densenet?scriptVersionId=28840786)|\n|Version 1|0.96051|2 months ago|1.7 h|+3|-1|[Open](https://www.kaggle.com/shank885/tpu-enet-b7-densenet?scriptVersionId=28835708)|\n|Forked from|0.96509|2 months ago|1.4 h|0|0|[Open](https://www.kaggle.com/wrrosa/tpu-enet-b7-densenet)|\n\n
\n\n# [TPU: ENet B7 + DenseNet](https://www.kaggle.com/darwinwin/tpu-enet-b7-densenet)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[darwinwin](https://www.kaggle.com/darwinwin)|\n|Language|Py|\n|Best Score|0.96112|\n|Votes|2|\n|Medal|-|\n|Comments|0|\n|Last Updated|2mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 1|0.96112|2 months ago|2.4 h|0|0|[Open](https://www.kaggle.com/darwinwin/tpu-enet-b7-densenet?scriptVersionId=29410356)|\n|Forked from|0.95695|2 months ago|2.4 h|0|0|[Open](https://www.kaggle.com/shank885/tpu-enet-b7-densenet)|\n\n
\n\n# [ 4 KFold DenseNet201](https://www.kaggle.com/ragnar123/4-kfold-densenet201)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[ragnar](https://www.kaggle.com/ragnar123)|\n|Language|Py|\n|Best Score|0.96043|\n|Votes|13|\n|Medal|\"medal\"|\n|Comments|2|\n|Last Updated|2mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 11|0.95614|2 months ago|2.8 h|+4|-4|[Open](https://www.kaggle.com/ragnar123/4-kfold-densenet201?scriptVersionId=29076396)|\n|Version 2|0.96043|2 months ago|2.9 h|+1|-1|[Open](https://www.kaggle.com/ragnar123/4-kfold-densenet201?scriptVersionId=28666444)|\n|Version 1|0.95786|2 months ago|2.2 h|+243|0|[Open](https://www.kaggle.com/ragnar123/4-kfold-densenet201?scriptVersionId=28618774)|\n\n
\n\n# [Flower Classification with TPU](https://www.kaggle.com/shank885/flower-classification-with-tpu)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[Shashank Shekhar](https://www.kaggle.com/shank885)|\n|Language|Py|\n|Best Score|0.96029|\n|Votes|0|\n|Medal|-|\n|Comments|0|\n|Last Updated|1mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 9|0.95883|a month ago|1.5 h|+3|-3|[Open](https://www.kaggle.com/shank885/flower-classification-with-tpu?scriptVersionId=30017442)|\n|Version 7|0.95951|2 months ago|1.5 h|+11|-7|[Open](https://www.kaggle.com/shank885/flower-classification-with-tpu?scriptVersionId=28782221)|\n|Version 6|0.96029|2 months ago|1.8 h|0|0|[Open](https://www.kaggle.com/shank885/flower-classification-with-tpu?scriptVersionId=28590934)|\n|Version 2|0.95121|2 months ago|52.0 m|+5|-22|[Open](https://www.kaggle.com/shank885/flower-classification-with-tpu?scriptVersionId=28544113)|\n|Version 1|0.95541|2 months ago|58.8 m|+64|-25|[Open](https://www.kaggle.com/shank885/flower-classification-with-tpu?scriptVersionId=28537357)|\n|Forked from|0.9444|2 months ago|51.2 m|0|0|[Open](https://www.kaggle.com/shank885/flowers-custom-data)|\n\n
\n\n# [Flower Classification with TPU](https://www.kaggle.com/darwinwin/flower-classification-with-tpu)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[darwinwin](https://www.kaggle.com/darwinwin)|\n|Language|Py|\n|Best Score|0.96018|\n|Votes|3|\n|Medal|-|\n|Comments|0|\n|Last Updated|2mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 1|0.96018|2 months ago|1.5 h|0|0|[Open](https://www.kaggle.com/darwinwin/flower-classification-with-tpu?scriptVersionId=29422981)|\n|Forked from|0.95883|2 months ago|1.5 h|0|0|[Open](https://www.kaggle.com/shank885/flower-classification-with-tpu)|\n\n
\n\n# [Flower Classification: DNet201+ENetB7](https://www.kaggle.com/sanikamal/flower-classification-dnet201-enetb7)\n\n\n\n### Kernel Information\n|Key|Value|\n|-|-|\n|Author|[Sani Kamal](https://www.kaggle.com/sanikamal)|\n|Language|Py|\n|Best Score|0.95959|\n|Votes|5|\n|Medal|-|\n|Comments|3|\n|Last Updated|2mo ago|\n\n### Commit History\n|Version|Score|Committed at|Run Time|Added|Deleted|Link|\n|-|-|-|-|-|-|-|\n|Version 9|0.95959|2 months ago|1.4 h|+56|-32|[Open](https://www.kaggle.com/sanikamal/flower-classification-dnet201-enetb7?scriptVersionId=29094636)|\n|Version 8|0.9564|2 months ago|1.3 h|+35|-32|[Open](https://www.kaggle.com/sanikamal/flower-classification-dnet201-enetb7?scriptVersionId=28778097)|\n|Version 3|0.95828|2 months ago|1.0 h|+25|-25|[Open](https://www.kaggle.com/sanikamal/flower-classification-dnet201-enetb7?scriptVersionId=28683581)|"}],"metadata":{"jupytext":{"cell_metadata_filter":"-all","main_language":"python","notebook_metadata_filter":"-all"}},"nbformat":4,"nbformat_minor":4}