Hi DeepLearning.ai team,

Hope you are doing good. Thank you for the updated assignments with strict validation of types.

I got the following error in the `model_test`

while initializing bias `b`

using `initialize_with_zeros`

:

Error: Data type mismatch in variable b. Got <class ‘float’> but expected type <class ‘numpy.float64’>

Error: Wrong shape for variable b.

The initialization of weights and bias inside `initialize_with_zeros`

was:

~~b = 0 or~~(incorrectly typed and should have been`b = 0.`

) or b = np.float(0)

This was due to the assertion in `initialize_with_zeros`

:

assert type(b) == float

then, inside the `model`

, i overwrote the value of `b`

from `initialize_with_zeros`

with

b = np.float64(0)

This helped with test case.

Can you please guide on any of my incorrect assignment/usage?

Update history:

- strike
`b = 0`

(should have typed as`b = 0.`