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[閒聊] 置底閒聊區 03/21置底

[ DataScience ]146 留言, 推噓總分: +61

作者: st1009 - 發表於 2018/03/21 19:56(7年前)

5^F推hl4: 要有人拋磚03/23 23:16

13^F推hl4: 有人在玩kaggle data science bowl2018嗎03/26 23:59

42^F推hl4: 最近發現Mask RCNN好像很威，可是對RCNN沒概念，有沒有推薦03/31 23:33

43^F→hl4: 的資料03/31 23:33

45^F推hl4: 想說先對架構和觀念有基礎的了解再來看實作會是不是比較好04/01 01:39

49^F→hl4: 原本是預期會有投影片或是演講影片之類的XD04/01 20:56

51^F→hl4: 了解，謝啦lol04/02 01:18

111^F推hl4: 面試的時候要問什麼才能避免踩到雷啊，總覺得工作大概不像玩05/03 10:23

112^F→hl4: kaggle這麼開心，會不會進去都在labling05/03 10:23

114^F推hl4: 對啊，就想說要怎麼分辨，就算真的要踩下去也想要有心理準備05/03 11:22

115^F推hl4: 通常會遇到哪些雜事啊？05/03 11:24

119^F推hl4: 哈，我比較擔心被無腦純勞力的工作塞滿，怕被當作免洗05/03 12:11

[問題] Dropout的值

[ DataScience ]8 留言, 推噓總分: +2

作者: PyTorch - 發表於 2018/04/27 21:12(7年前)

4^F→hl4: https://goo.gl/c8eu49 可以參考看看04/28 01:44

[問題] 數據類職業進修

[ DataScience ]40 留言, 推噓總分: +5

作者: janet5141li - 發表於 2018/04/24 00:47(7年前)

1^F推hl4: 數據分析範圍這麼大，你想做什麼？04/24 01:51

[問題] 工作上要成為資料科學家python該如何練功

[ DataScience ]40 留言, 推噓總分: +15

作者: ruthertw - 發表於 2018/04/18 15:21(7年前)

18^F→hl4: 怎麼忽然來個深情告白，閃瞎了我的狗眼04/19 15:07

[問題] 關於Tensorflow的多gpu運算

[ DataScience ]13 留言, 推噓總分: +6

作者: gn02516700 - 發表於 2018/04/09 15:41(7年前)

1^F推hl4: 可以調fit_generator的worker, use_multiprocessing, queue04/09 16:47

2^F→hl4: 最近剛好也在用這model玩這dataset...04/09 16:48

5^F推hl4: stage2很狂啊，一堆全黑圖還有教科書的手繪圖片...04/12 20:30

9^F推hl4: 我也才玩這個幾天而已，stage1最後名次到38x，還差幾名到銅04/13 17:42

10^F→hl4: 話說現在還能re-train嗎？我以為upload之後就不能動了QQ04/13 17:44

11^F推hl4: https://goo.gl/veVnEh 這串講了不少東西，可以參考看看04/14 03:09

13^F推hl4: 真是高手，我也才前三分之一而已，怎麼一堆墊背的不見了lol04/17 13:18

[問題] 全捲積網路(FCN) 在YOLOV2上訓練的問題

[ DataScience ]59 留言, 推噓總分: +19

作者: NMOSFET - 發表於 2018/04/16 14:18(7年前)

2^F推hl4: 進到model之前可能先resize過了04/16 17:07

[問題] 請教關於Stochastic gradient descent

[ DataScience ]28 留言, 推噓總分: +16

作者: Bondrewd - 發表於 2018/04/03 23:54(7年前)

8^F推hl4: batchsize越小隨機的成分越大，適當的隨機性質可以讓model不04/04 00:27

9^F→hl4: 容易困在平緩的地區，讓整體收斂速度快一點。印象中是這樣，04/04 00:27

10^F→hl4: 有錯麻煩糾正一下XD04/04 00:27

22^F推hl4: 喔喔好文好文04/04 04:10

[問題] 自己用桌電架設GPU工作站的方法

[ DataScience ]32 留言, 推噓總分: +16

作者: kerkercheng - 發表於 2018/03/30 23:15(7年前)

1^F推hl4: 用桌機開 jupyter，然後用筆電連進去03/30 23:18

[問題] 有關sklearn中的GridSearchCV 的問題

[ DataScience ]12 留言, 推噓總分: +2

作者: reck0916 - 發表於 2018/03/17 19:05(7年前)

5^F→hl4: training set不一樣?03/17 23:49

6^F→hl4: best_score_是CV得到的平均值，和refit用的training set不同03/18 05:19

8^F→hl4: 要看你的目的是什麼，cv的score和refit後的score本來就不一樣03/18 16:31

11^F→hl4: 那就是GridSearchCV給的那組了阿03/18 19:37

12^F→hl4: GridSearchCV只保證給你val score最佳而已，剩下是你的問題03/18 19:40

congratulations

[ DataScience ]7 留言, 推噓總分: +3

作者: KOTD - 發表於 2018/02/11 18:59(7年前)

7^F推hl4: 因為grid search 沒有用全部去train吧，不太確定，有點忘了03/17 23:48

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