Comments (1)
In chapter 9, I am getting the right loss and accuracy values but when I print out the loss_activation.output[:5] and the dweights and dbiases, I get the wrong values.
Here is my output
[[0.33333334 0.33333334 0.33333334]
[0.3333332 0.3333332 0.33333364]
[0.3333329 0.33333293 0.3333342 ]
[0.3333326 0.33333263 0.33333477]
[0.33333233 0.3333324 0.33333528]]
loss: 1.0986104
acc: 0.34
[[ 1.5766357e-04 7.8368583e-05 4.7324400e-05]
[ 1.8161038e-04 1.1045573e-05 -3.3096312e-05]]
[[-3.60553473e-04 9.66117223e-05 -1.03671395e-04]]
[[ 5.44109462e-05 1.07411419e-04 -1.61822361e-04]
[-4.07913431e-05 -7.16780924e-05 1.12469446e-04]
[-5.30112993e-05 8.58172934e-05 -3.28059905e-05]]
[[-1.0729185e-05 -9.4610732e-06 2.0027859e-05]]
I tried using the solution code from Github and I get the same output. I also did what you referenced above about changing the version of NumPy but I still get the same output.
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