# <p class="text-h">Homework 4 - Explain your model</p> ### <p class="text-hh">Announcements</p> #### 4/8 * Conda environment release! #### 4/3 * Matplotlib version update for lime compatibility! #### 3/28 * Sample code release! #### 3/21 * HW4 release! <hr> ### <p class="text-hh">Links</p> * 作業投影片 <a href="https://docs.google.com/presentation/d/13DLRxu8vzMhyAPbXMglJ5R-a7V9XMIqVEbM-PiRmXWk/edit?usp=sharing" target="_blank"><i class="fa fa-book"></i></a> * Report 模板 <a href="https://goo.gl/JCijVR" target="_blank"><i class="fa fa-file-text"></i></a> * (有遲交的同學才需填寫)遲交表單 <a href="https://goo.gl/forms/5ctgJjCkgYdDndOh1" target="_blank"><i class="fa fa-clock-o"></i></a> * Sample code <a href="https://hackmd.io/435VaJPrQtCJzAdodxXbxA" target="_blank"><i class="fa fa-book"></i></a> <!-- * Sample code (Generative model) <a href="./ProbabilisticGenerativeModel.html" target="_blank"><i class="fa fa-book"></i></a> --> <!-- * 手把手教學投影片 <a href="#" target="_blank"><i class="fa fa-book"></i></a> --> <hr> ### <p class="text-hh">Deadlines</p> * Github Deadline: 04/12/2019 23:59:59 (GMT+8) <hr> ### <p class="text-hh">Assignment Regulation</p> * Only Python 3.6 available !!!! * python standard library * numpy == 1.16.2 * scipy == 1.2.1 * pandas == 0.24.2 * Pytorch == 1.0.1 * torchvision == 0.2.2.post3 * Tensorflow == 1.12.0 * Keras == 2.2.4 * matplotlib == 2.1.0 * scikit-image == 0.14.2 * lime == 0.1.1.33 (Install via pip) * 不可以使用 keras-vis <hr> ### <p class="text-hh">FAQ</p> <p>Q1:請問kaggle的組隊人數上限?</p> <p>A1:hw4沒有kaggle哦^^。</p> <hr>