Mnist number prediction LESSON 4

Part 1 (2019)
1

In lesson 04 of part 1, the the functions which recognizes a three or a seven, which are,

def linear1(xb): return xb@weights + bias
corrects = (preds>0.0).float() == train_y

How is possible to declare a three or a seven based on the sum is greater than zero or less than zero (>0,a three & <0, a seven)?

1 Like
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I don’t understand this either. Did you ever figure it out?

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@mlaw Please refer Mnist number prediction LESSON 4