update

2024-09-23 06:10:11 +02:00
parent 195e5b886d
commit 36a8e2cbdf
6 changed files with 293 additions and 288 deletions
@@ -815,6 +815,7 @@ o The cost function is convex which guarantees that gradient descent converges f
 We revisit an example similar to what we had in the first homework set. We had a function  of the type

 !bc pycod
+m = 100
 x = 2*np.random.rand(m,1)
 y = 4+3*x+np.random.randn(m,1)
 !ec