I understand how normalization would affect accuracy when dealing with multiple features that have different scales, i.e. “millimeters between planets” vs “number of times a person gets married”. I can also see how using different types of normalization could de-emphasize outliers. I don’t underst…

Please try the following : Define a function get_sigmoid(pixel_value, weight) where you return the sigmoid for the pixel_value * weight value. Create a bunch of weights using np.linspace between 0 and 1e-5. See how sigmoid varies when pixel value is 255 and 1. This should tell you which scale of …

C1_W2_Lab1 Exercise 7. Why does normalization change the results so much?

Course Q&A TensorFlow Developer Professional Introduction to TF for Artificial Intelligence ...

balaji.ambresh September 7, 2022, 5:41pm 21

According to your latest screenshot, epochs=9. This should be specified as 10.

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C1_W2_Lab1 Exercise 7. Why does normalization change the results so much?

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