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    # 數講統治下的資專筆記們 ###### tags: `數講統治下的資專筆記們` :::warning # 板規 - 記得加 tag :「數講統治下的資專筆記們」 - 可以任意編輯、放東西,但非經原作者同意不要動其他人的東西。 - 可以討論數講,或在物理課放東西上來。 - 有東西盡量放,大家一起分享 - 原則上按照日期(週次)分 - 相同主題(機器學習、演算法等等)盡量放一起 - 好題多多放上來 ::: 主頁 --- - [主頁](/@Cowfrog/BymZQTx8L) 綜合討論、隨意筆記 --- - [W12 (03/16~03/22)](/5x4yzsavQdmyGyP7pK3-Yw) - [W13 (03/23~03/29)](/nWC2ebjFQc6P5GAs5bItxw) - [W14 (03/30~04/05)](/ziZQtY_uTWuPbEb0ZTwd-g) - [W16 (04/13~04/19)](/8m_TRk7dRTWCwzfocXRg1w) - [W17 (04/20~04/26)](/TXIz6RCaTpO_IhDW1sqpuw) - [W18 (04/27~05/03)](/7DLYQIOjQJSxUGo4kQwfVg) - [W19 (05/04~05/10)](/tK4y10nhR7yhfLR5SeZLFA) - W20 聽成發暫停一週。也許我們該開始準備了? - [W21 (05/18~05/22)](/YbeYwg0xTu6VwqqTPQ7ZSg) - [W22 (05/24~05/30)](/ZQAHGyztRdK0qnW9835jZQ) - [W23 (06/01~06/07)](/-1pRoPfkT4Owq5B_8l2iEg) - [W24 (06/08~06/14)](/-NqxwtOORaqqdB67ti_Kbw) 解題專區 --- - [Kattis 好題共享](/1PgV8c_FQH-McshYgrQw1w) - [一份神奇的講義](https://www.csie.ntu.edu.tw/~b98902112/cpp_and_algo/index.html) 數講討論特區 --- 各組進度 --- ### 25 #### 想做個遊戲組 - Unity小組-第一次日誌 #### 討論遊戲製作方向及分享Unity的使用情形 ##### 決定先讀Unity的書跟學C# 目標是這一個月中 兩人各做出一個能跑的小遊戲作為練習 並從過程中找尋方向及專題最後想產出的遊戲類型 或甚至換方向與否 ##### 記於2020/3/31 張濰安與陳致宇 <3 #### 笑話區 - [24](https://www.youtube.com/watch?v=WPn1f_Pefx8) ### 26 - 教授都不回 學妹製造株式會社 --- ### 嘉崴的PyTorch講義 & Kattis ML 題解們 [Numpy & Pandas 1](https://colab.research.google.com/drive/1Cz1DtXZbXoI0Oqn-TtBSGPr8M-_AYt0H)所有資料科學的基礎 [PyTorch 1](https://colab.research.google.com/drive/1UfRL_OcxEcPji8Kl2cVQG8SvToqkNGAH) PyTorch Tensor 基本操作 [PyTorch 2](https://colab.research.google.com/drive/1ogwdJuYzczOlazQM2wc1qOlv6p6kQNM4) Pytorch 模型基本架構 [PyTorch 3](https://colab.research.google.com/drive/1ZUUzv6AoZ13ZRrmw_c9CvO4Oka3mCs0M#scrollTo=JYof4M38Ec_Y) 這個似乎已經壞掉了 [PyTorch 4](https://colab.research.google.com/drive/1vK54zt-zskRZ7yYNrc-c68CMX_O5Ix3V) MNIST with Convolutional Neural Network(CNN) [PyTorch 5](https://colab.research.google.com/drive/1JpDrimimVwqcKjA6dqPJpjMge4FDmC9q) 了解PyTorch裡各個部件的用途 PyTorch 6 爛掉了 QwQ [PyTorch 7](https://colab.research.google.com/drive/1-hEJk9ESUwADtzIn7omfULNSk_1rHuNz) 辨識名字來源的Recurrent Neural Network(RNN) [Pytorch CNN LHY](https://colab.research.google.com/drive/1NtHl9XKPmpTAi4u6rSJHCeLhaPyQPD6L) 辨識食物的CNN [torch.nn.Module](https://colab.research.google.com/drive/1Qme9BUFEqNu14MtwnWzonDc4SLNtSTOj?usp=sharing) nn.Module的各部件 [PyTorch RNN Addition](https://colab.research.google.com/drive/1wcIR8aAVJ22OZdXqDEOQ0204AW3HL_K0?usp=sharing)算加法的RNN,懶得做輸入介面,正確率只到90%。 [AutoEncoder](https://colab.research.google.com/drive/1Mu3B2hKgEHfXg3cFWe_3o2eoBZIe-bOU) 一個沒註解的MNIST AutoEncoder [Matplotlib 1](https://colab.research.google.com/drive/15uAwtN8BKVTH4_FYoch7gfMjvuxNHgiZ) 無聊去看看吧,裡面有精美的(?)圖 [Hangman](https://colab.research.google.com/drive/1aPSXV9uT2CU4QfJqgyT-maLeyjXhXnzL) [Kattis Two-Class Binary Neural Network](https://colab.research.google.com/drive/1vx4bpR9Xux9TrSKLugS6m8QGeGbR2V7G) 正確率97.30%,要參數、原理來問我,我懶得打,很樂意說(傳教) [Kattis Ten-Class Binary Neural Network](https://colab.research.google.com/drive/11mSh8tYXoh2fKCGCJqxgBPtuxMelJTcx) 等我整理好 失敗品 [Input Gradient Descent](https://colab.research.google.com/drive/1lCH1ji8Mcd3DroLfcIfvLJRDe-27dtRR?usp=sharing) [Input Gradient Descent2](https://colab.research.google.com/drive/1ezCuXZd6I-vAbYNIXYbebkZadMY0hUi7?usp=sharing) > 機器學習關鍵字: `3Blue1Brown` `TensorFlow Playground` `WaifuLabs` `DeepLearning.ai` `NN` `CNN` `RNN` `LSTM` `GRU` `Autoencoder` `GAN` `Reinforcement Learning` `Calculus` `Linear Algebra` `Pytorch` `TensorFlow` `NumPy` `Matplotlib` `Pandas` 不想用超連結,請自己搜尋。 ### 我就爛 —— [Deep Learning from Scratch](https://www.books.com.tw/products/0010761759) [第壹章・工欲善其事,必先利其器](https://colab.research.google.com/drive/1Ifl_rpH6e-sVENqP0Bp4BBDPL0AeD3ja) [第貳章・是是非非](https://colab.research.google.com/drive/1m-jjFrwPdw6aknA4qfXaUSZoUUpI3KCV) [第參章・之壹・神經網路](https://colab.research.google.com/drive/1i009-rVtqY6FmPq3YLIjBfhfc-RKdVuP) [第參章・之貳・神經網路](https://colab.research.google.com/drive/1ZLJLncbPx085FhJga6aUl9BKQ6xeaPZD) [第肆章・之壹・梯度下降](https://colab.research.google.com/drive/1AEJv04C06d0iluWA0AiH_8YaTBYnYN5L)

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