All my previous tests are passed. And the next cell containing training seems fine on 70% test accuracy and almost 100% train accuracy.
However, the cost in GRADED FUNCTION MODEL is off. Cant seem to find why.
AssertionError: Wrong values for d[‘costs’]. [array(0.15900538)] != [array(0.69314718)]
Looking at the training (the next cell) this is the cost of the first iteration:
Cost after iteration 0: 0.693147
…
Cost after iteration 1900: 0.140872
train accuracy: 99.04306220095694
test accuracy: 70.0
Also the plot is white for some reason… any thoughts?