Andrew Ng機器學習week4(Neural Networks: Representation)編程習題
* lrCostFunction.m * oneVsAll.m * predictOneVsAll.m ...
原文：Andrew Ng機器學習week3(Regularization)編程習題
sigmoid.m costFunction.m predict.m costFunctionReg.m ...
2013-11-24 16:47 0 2587 推薦指數：
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Andrew Ng機器學習week2(Linear Regression)編程習題
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Andrew Ng機器學習課程筆記--week3（邏輯回歸&正則化參數）
Logistic Regression 一、內容概要 Classification and Representation Classification Hypothe ...
【原】Coursera—Andrew Ng機器學習—Week 1 習題—Linear Regression with One Variable 單變量線性回歸
Question 1 Consider the problem of predicting how well a student does in her second year of college ...
【原】Coursera—Andrew Ng機器學習—Week 5 習題—Neural Networks learning
課上習題 【1】代價函數 【2】代價函數計算 【3】 【4】矩陣的向量化 【5】梯度校驗 Answer：(1.013 -0.993) / 0.02 = 3.001 【6】梯度校驗 Answer：學習的時候要去掉梯度校驗，不然會特別慢 【7】隨機 ...
【原】Coursera—Andrew Ng機器學習—Week 4 習題—Neural Networks 神經網絡
【1】 Answer：C 【2】 Answer：D 第二層要輸出四個元素a1 a2 a3 a4。輸入x有兩個，加一個x0是三個。所以是4 * 3 【3】 An ...
【原】Coursera—Andrew Ng機器學習—Week 3 習題—Logistic Regression 邏輯回歸
課上習題 【1】線性回歸 Answer： D A 特征縮放不起作用，B for all 不對，C zero error不對 【2】概率 Answer：A 【3】預測圖形 Answer：A 5 - x1 ≥ 0時，y = 1。即x1 ≤ 5時，y ...