English version 使用說明 進入 Judge 網頁後，點選右上角 Login 登入 image 點選 NYCU OAuth2 進入登入畫面 image 若沒有辦法透過 NYCU OAuth2 登入請透過 e3 聯絡助教處理。

Instructions After accessing the Judge webpage, click on "Login" in the upper right corner. image Click on "NYCU OAuth2" to proceed to the login screen. image If you are unable to log in via NYCU OAuth2, please contact the teaching assistant through e3 for assistance. After successfully logging in, click on Join this Course for Competitive Programming I to enter the course. image

NCTU PCCA Winter Camp Contest 2020 - 題解 === :::info 如果你想在比賽結束後解題，請在 DOMjudge 界面的右上角 contest 選擇 "PCCAWinter2020p"(NCTU PCCA Winter Camp Contest 2020 - Practice) 再上傳，否則只會收到各種 `TOO-LATE` ::: ## 目錄 <table style="text-align: center; font-weight: bold;"> <tr> <td><a href="#A-Ascend-the-Alps">A</a></td> <td><a href="#B-Blocking-Buildings">B</a></td> <td><a href="#C-Capoo’s-Christmas">C</a></td> <td><a href="#D-Dope-Design">D</a></td> </tr> <tr> <td><

NCTU PCCA Winter Camp Contest 2020 === ## Contest Information ### Contest Rules Contestants who fail to abide the rules will be disqualified. 1. A team shall consist of at most three (3) contestants. 2. No machine-readable materials (e.g., source codes, templates, etc.) are allowed. However, paper-based materials, such as textbooks, dictionaries, printed notes, etc., are allowed. 3. Contestants are only allowed to contact their teammates during the contest. Contestants shall not discuss wi

--- title: Wasserstein GAN lang: zh-tw disqus: hackmd slideOptions: width: 1200 height: 900 transition: 'slide' transitionSpeed: 'fast' spotlight: enabled: false --- # Wasserstein GAN ## NIPS2014 @U of Montreal ## PMLR2017 @Facebook --- # Outline - GAN(Generative Adversarial Nets) - What is GAN? - Problems of GAN. - WGAN(Wasserstein GAN) - What is WGAN? - What issues the WGAN solved? - Experiments. - Conclusion --- # GAN - Task - Problems ---- # Goal - Obtain a gen

Learning Deep Features for Discriminative Localization ==== > Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba Computer Science and Artificial Intelligence Laboratory > MIT [回目錄](https://hackmd.io/@marmot0814/ryzDejzGr) # Abstract 1. Revisit the GAP - GAP(global average pooling layer) 2. Achieve 37.1% top-5 error on ILSVRC 2014 - ILSVRC(Large Scale Visual Recognition Challenge) # Introduction 1. convolutional layers can localize objects, but this ability is lo

台南市衛生局教育學習單注意事項 === :::info [google 表單(輸入資料用)](https://reurl.cc/EK8jDR) [google 表單(查看資料結果或刪除資料用)](https://reurl.cc/zyg1XQ) [google 試算表(統計回收率, 確認各區抽樣數目, 輸入資料總表, 學校敘獎名單, 學生中獎名單)](https://reurl.cc/k5NOv3) [google 試算表備份](https://reurl.cc/yy1LXa) ::: ## Step 1. 學習單回收率統計 ### 1. 進入[google 試算表-回收率統計表] :::danger ==綠色==底色為可以修改的欄位, 其餘欄位不可修改 ::: -  ### 2. 在[google 試算表-區域抽樣數量](https://docs.google.com/spreadsheets/d/1Sj7gDoSx_z2BJT2T0uwPZpjRUfCTC-0hDgR_2m12MW4/edit#gid=165