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The Power of Ensemble Learning and Data Augmentation
Full code examples on the MNIST dataset with VGG16 ResNet50 FG-UNET Majority Voting Single Transferable Vote Instant-Runoff VotingTable...
Deep Learning 原理 : Neural Network 如何分類圖像
站在 Neural Network 的角度看世界！
〔程式教學〕開始深度學習之前，先了解什麼是「感知器」(Perceptron)
深度學習的第一步：Perceptron
〔程式教學〕Python 中的迴圈 (Loop) 觀念
新的一年，新的開始。先從搞懂程式中的迴圈 (Loop) 觀念開始吧！
【機器學習】Dropout Layer
極簡；重點
Decision Tree and Random Forest
極簡；重點
Tensor 基本觀念 (2)
想學習 TensorFlow 嗎？不如從 Tensor 開始吧！
Tensor 基本觀念 (1)
想學習 TensorFlow 嗎？不如從 Tensor 開始吧！
條件機率 vs 聯合機率
花十分鐘搞懂「條件機率」與「聯合機率」的差別！
使用機器學習解決問題 : 探索書籍風格
前言 概述本篇為機器學習觀念入門的第 9 篇文章。在前一篇文中，我們說明如何透過機器學習五步驟 (定義問題、建立資料集、模型訓練、模型評估與模型推論) 解決「房價預測」的問題。房價預測屬於監督式學習 (Supervised Learning)，在本篇文章中將會以「探索...
使用機器學習解決問題 : 房價預測
前言 概述本篇為機器學習觀念入門的第 8 篇文章。在前五篇文章中，我們依序了解機器學習五步驟 : 定義問題、建立資料集、模型訓練、模型評估與模型推論。在本篇文章中，將會重新應用這五步驟來解決「房價預測」的問題。房價預測經常作為理解機器學習原理的例子，如果你已經具備機器...
