机器学习 线性、逻辑回归 28. April 2018 深度学习 0 1.逻辑回归 h = sigmoid(X*theta); theta1 = [0 ; theta(2:size(theta), :)]; p = lambda*(theta1’*theta1)/(2*m); J = ((-y)’*log(h) – (1-y)’*log(1-h))/m + p; grad = (X’*(h – y)+lambda*theta1)/m; 预测p=sigmoid(X*theta)>=0.5