W1 A2: model Function: indexing error

Course Q&A Deep Learning Specialization Sequence Models
1

Not able to get past the error:

only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices

My X, Y and a_prev print outputs right before calling the optimize function:

X =  ['None', 20, 21, 18, 9, 1, 19, 1, 21, 18, 21, 19]
y =  [20, 21, 18, 9, 1, 19, 1, 21, 18, 21, 19, 0]
(50, 1)

Really cant figure out what could be wronng here.
2

Please post a screen capture image that shows the error message and your other test results.

3

Here’s some of the output I get when I run the model function in that test cell:

initial loss 23.070858062030304
j =  0 idx =  0
single_example = turiasaurus
single_example_chars ['t', 'u', 'r', 'i', 'a', 's', 'a', 'u', 'r', 'u', 's']
single_example_ix [20, 21, 18, 9, 1, 19, 1, 21, 18, 21, 19]
 X =  [None, 20, 21, 18, 9, 1, 19, 1, 21, 18, 21, 19] 
 Y =        [20, 21, 18, 9, 1, 19, 1, 21, 18, 21, 19, 0]

Notice that the first element in my X list is the python token None. In your list it is the string 'None'. That’s not the same thing, right? Maybe that could cause the issue you’re seeing.

4

Hey, thanks so much for helping with this. It was such a silly mistake!!

Thanks.

1 Like