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學習一段時間深度學習的你是不是有一個疑惑：Activation Function為什麼要用Sigmoid和Softmax？Loss Function為什麼要用MSE和Cross Entropy？其他狀況要用什麼？當然你可以把它們看作是個合理定義，但是學習深度就端看你是不是可以用最少的定義表示最多的東西，如果你仔細google一下就會發現有一個相關的名詞—廣義線性定理，但是大部分的文章和教材都沒辦法將它講的很清楚，原因是因為沒有先介紹「充分統計量」的概念。在本講你會學到如何用「充分統計量」來說明在廣義線性定理中的Canonical Link Function，進而推導出Activation Function，你會學到如何藉由MLE和MAP來推導出Loss Function，學完以後你會對Activation Function和Loss Function有更深的認識。
It has a alexa rank of #2,270,907 in the world. It is a domain having .idv.tw extension. It is estimated worth of $ 480.00 and have a daily income of around $ 2.00. As no active threats were reported recently, ycc.idv.tw is SAFE to browse.
Traffic Report
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Estimated Valuation
| Income Per Day: | $ 2.00 |
| Estimated Worth: | $ 480.00 |
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| WOT Trustworthiness: |
 Very Poor
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Very Poor
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Website Ranks & Scores
| Alexa Rank: | 2,270,907 |
| PageSpeed Score: | 89 ON 100 |
| Domain Authority: |
49 ON 100 
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| Bounce Rate: | Not Applicable |
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Web Server Information
Hosted IP Address:
172.67.188.241
Hosted Country:
US
Location Latitude:
37.7757Location Longitude:
-122.395Search Engine Results For ycc.idv.tw
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YC Note
... Ur Warm Pet Cafe, Resident Singer (2017-2018); National Taiwan University, Master of Physics (2012-2014); National Sun Yat-Sen University, Bachelor of ...
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Tag:機器學習基石- YC Note
YC Note, 機器學習(Machine Learning)、深度學習(Deep Learning)、類神經網路( Neural Network)、資料科學(Date Science)、Python、演算法(Algorithm)
剖析深度學習(4)：Sigmoid, Softmax怎麼來？為什麼要用MSE和 ...
2020年3月14日 ... https://www.ycc.idv.tw/ml-c... relu只能算是h(x,m,theta)變換中的一部分，它也不 可能是link function，因為relu的平均值是undefined. © Copyright ...
Page Resources Breakdown
Homepage Links Analysis
Website Inpage Analysis
| H1 Headings: | 1 | H2 Headings: | 3 |
| H3 Headings: | 1 | H4 Headings: | 11 |
| H5 Headings: | Not Applicable | H6 Headings: | Not Applicable |
| Total IFRAMEs: | Not Applicable | Total Images: | 11 |
| Google Adsense: | Not Applicable | Google Analytics: | UA-68393177-2 |
Two Phrase Analysis
| Words | Occurrences | Density | Possible Spam |
|---|---|---|---|
| YC Note | 2 | 0.943 % | No |
| of Physics | 2 | 0.943 % | No |
| beam search | 2 | 0.943 % | No |
| Function有更深的認識。 剖析深度學習 | 1 | 0.472 % | No |
| Function，學完以後你會對Activation Function和Loss | 1 | 0.472 % | No |
| Entropy？談廣義線性模型 AIML | 1 | 0.472 % | No |
| Link Function，進而推導出Activation | 1 | 0.472 % | No |
| Function和Loss Function有更深的認識。 | 1 | 0.472 % | No |
| Likelihood Estimation | 1 | 0.472 % | No |
| Term，我們也可以在本講看到L1和L2 Regularation | 1 | 0.472 % | No |
| Regularation Term是怎麼被導出的。 | 1 | 0.472 % | No |
| Posterior MAP | 1 | 0.472 % | No |
| A Posterior | 1 | 0.472 % | No |
| Entropy或KL Divergence。而貝氏學派則主張Maximum | 1 | 0.472 % | No |
| Divergence。而貝氏學派則主張Maximum A | 1 | 0.472 % | No |
| 4：Sigmoid Softmax怎麼來？為什麼要用MSE和Cross | 1 | 0.472 % | No |
| 資源整理：跟上AI前沿知識 AIML | 1 | 0.472 % | No |
| Inference 方法（greedy | 1 | 0.472 % | No |
| 方法（greedy decode | 1 | 0.472 % | No |
| 的架構、訓練的參數優化和其三種 Inference | 1 | 0.472 % | No |
Four Phrase Analysis
| Words | Occurrences | Density | Possible Spam |
|---|---|---|---|
| All Articles OCR：CRNNCTC開源加詳細解析 AIML | 1 | 0.472 % | No |
| View All Articles OCR：CRNNCTC開源加詳細解析 | 1 | 0.472 % | No |
| Blog View All Articles | 1 | 0.472 % | No |
| My Blog View All | 1 | 0.472 % | No |
| Articles OCR：CRNNCTC開源加詳細解析 AIML Pytorch | 1 | 0.472 % | No |
| OCR：CRNNCTC開源加詳細解析 AIML Pytorch CRNNCTC | 1 | 0.472 % | No |
| decode beam search decode | 1 | 0.472 % | No |
| 方法（greedy decode beam search | 1 | 0.472 % | No |
| Inference 方法（greedy decode beam | 1 | 0.472 % | No |
| Linkedin My Blog View | 1 | 0.472 % | No |
| My Linkedin My Blog | 1 | 0.472 % | No |
| Bachelor of Physics 20092012 | 1 | 0.472 % | No |
| University Bachelor of Physics | 1 | 0.472 % | No |
| YatSen University Bachelor of | 1 | 0.472 % | No |
| of Physics 20092012 My | 1 | 0.472 % | No |
| Physics 20092012 My Github | 1 | 0.472 % | No |
| Github My Linkedin My | 1 | 0.472 % | No |
| My Github My Linkedin | 1 | 0.472 % | No |
| 20092012 My Github My | 1 | 0.472 % | No |
| beam search decode prefix | 1 | 0.472 % | No |
Websites Hosted on Same IP (i.e. 172.67.188.241)
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Domain Nameserver Information
| Host | IP Address | Country | |
|---|---|---|---|
| graham.ns.cloudflare.com | |
173.245.59.171 | United States |
DNS Record Analysis
| Host | Type | TTL | Extra |
|---|---|---|---|
| ycc.idv.tw | NS | 86400 |
Target: graham.ns.cloudflare.com |
| ycc.idv.tw | NS | 86400 |
Target: ruth.ns.cloudflare.com |
| ycc.idv.tw | SOA | 3600 |
MNAME: graham.ns.cloudflare.com RNAME: dns.cloudflare.com Serial: 2034765053 Refresh: 10000 Retry: 2400 Expire: 604800 |
Full WHOIS Lookup
Domain Status:
clientUpdateProhibited,clientDeleteProhibited,clientTransferProhibited
Registrant:
Yi-Chang Chen
Yi-Chang Chen
[email protected]
+886.0953725946
No.419, Linsen
Rd
Kaohsiung, Fengshan Dist.
TW
Administrative
Contact:
Yi-Chang Chen
[email protected]
+886.0953725946
Technical
Contact:
Yi-Chang Chen
[email protected]
+886.0953725946
Record expires on
2023-02-04 10:02:28 (UTC+8)
Record created on 2017-02-04 10:02:28
(UTC+8)
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