Question 1 Consider the problem of predicting how well a student does in her second year of college ...
plotData.m computeCost.m gradientDescent.m featureNormalize.m normalEqn.m ...
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Question 1 Consider the problem of predicting how well a student does in her second year of college ...
Gradient Descent for Multiple Variables 【1】多變量線性模型 代價函數 Answer:AB 【2】Feature Scaling 特征縮放 Answer:D 【3】學習速率 α Answer: B ...
* sigmoid.m * costFunction.m * predict.m * costFunctionReg.m ...
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 ...
* lrCostFunction.m * oneVsAll.m * predictOneVsAll.m ...
* nnCostFunction.m * sigmoidGradient.m ...
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 ...
【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 ...