[吉他] 光良-傷心地鐵
Posted on November 08, 2017 in Life. View: 161
Posted on November 08, 2017 in Life. View: 161
Posted on November 07, 2017 in AI.ML. View: 5,423
增加Hidden Layer / Activation Function的選擇 / Mini-Batch Gradient Descent / Regularization / Weight Regularization / Dropout / Optimizer的選擇 / 來看看程式怎麼寫
Posted on October 23, 2017 in AI.ML. View: 5,461
MNIST Dataset / Softmax / Cross-Entropy Loss / 分離數據的重要性 / Tensorflow工作流程 / Tensorflow的基本「張量」元素 / Session的操作 / 第一個Tensorflow Model
Posted on September 05, 2017 in Reading. View: 6,371
Posted on August 04, 2017 in AI.ML. View: 110,968
本篇介紹包含Confusion Matrix, True Positive, False Negative, False Positive, True Negative, Type I Error, Type II Error, Prevalence, Accuracy, Precision, Recall, F1 Measure, F Measure, Sensitivity, Specificity, ROC Curve, AUC, TPR, FNR, FPR, TNR, FDR, FOR, PPV, NPV, 算數平均, 幾何平均, 調和平均
Posted on May 06, 2017 in CS. View: 4,718
Posted on April 22, 2017 in AI.ML. View: 14,272
本篇內容涵蓋Radial Basis Function (RBF) Network、K-Means、One-Hot Encoding和Matrix Factorization
Posted on April 17, 2017 in AI.ML. View: 32,041
本篇內容涵蓋神經網路(Neural Network, NN)、深度學習(Deep Learning, DL)、反向傳播算法(Backpropagation, BP)、Weight-elimination Regularizer、Early Stop、Autoencoder、Principal Component Analysis (PCA)
Posted on April 17, 2017 in CS. View: 13,448
Posted on April 07, 2017 in Reading. View: 645
Posted on April 02, 2017 in AI.ML. View: 4,787
本篇內容涵蓋AdaBoost (Adaptive Boost)、Gradient Boost、AdaBoosted Decision Tree和Gradient Boosted Decision Tree (GBDT)。
Posted on March 30, 2017 in CS. View: 63,283
Posted on March 29, 2017 in AI.ML. View: 7,561
Posted on March 24, 2017 in Reading. View: 752
Posted on March 20, 2017 in CS. View: 5,359
Posted on March 18, 2017 in Reading. View: 834
Posted on March 15, 2017 in AI.ML. View: 5,738
本篇內容涵蓋Probabilistic SVM、Kernel Logistic Regression、Kernel Ridge Regression、Support Vector Regression (SVR)
Posted on February 20, 2017 in AI.ML. View: 11,060
本篇內容涵蓋Hard-Margin Support Vector Machine (SVM)、Kernel Function、Kernel Hard-Margin SVM、Soft-Margin SVM、Kernel Soft-Margin SVM、拉格朗日乘子法(Lagrange Multiplier)、Lagrangian Dual Problem
Posted on January 12, 2017 in AI.ML. View: 10,402
有什麼特徵可以使用? / Embedding Numerous Features :Kernel Models / Combining Predictive Features:Aggregation Models / Distilling Implicit Features:Extraction Models
Posted on September 18, 2016 in AI.ML. View: 16,517
Posted on August 07, 2016 in AI.ML. View: 7,456
Posted on June 26, 2016 in AI.ML. View: 11,827
Posted on June 06, 2016 in AI.ML. View: 12,791