Shape of vector theta

#1

theta=np.zeros((n,)). will print a vector like [0 0 0 0…]
but we want [0
0
0]

why are we not reshaping the theta vector

#2

hey @Par1hsharma ,
couldn’t understand your doubt , can you be please more brief , or share me the timestamp you are referring to in the video.

#3

in gradient_Descent function we define theta as np.zeros((n,))
by defining theta as this we get a array of [0 0 0 …] but we want the theta vector to be displayed as following
[0
0
0
.
.]
my doubt is why are we not reshaping Theta vector to have just one column

#4

why there is a need to reshape that , ???
its the same , it has the same shape, you can try it.

#5

https://drive.google.com/file/d/1nYUUSUbiYF4Z8e3ASUV4JkVvn90zmTU_/view?usp=sharing
please see the screenshot

#6

the way it is done in screenshot is correct , and that reshaping just is done for the matrix multiplication.

SO you can check that and go ahead , that thing might be changed in the next video, or as the X shape is different then it would worked.

#7

the reshaping is not done in the code with sir is teaching. the reshaping I have done from my side. how is the matrix multiplication working in the code without reshaping in the video

#8

a matrix multiplication of (100,5)x(5,) , will result in (100,)

and this is the same thing being done in video also , and hence it works.

#9

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