(I guess I can answer my own question by staring at the code long enough, but I was wondering if anybody already has the answer.)
Note. I am following Introduction to machine learning for coders and using fast v0.7.
In lesson4-mnist_sgd.ipynb, the lesson covers the simplest neural network,
net, with one layer and 10 outputs. The model data contains images and their labels, which are one-dimensional, representing integers between 0 and 9. Then we call the function
fit, which takes in
Question. Where (in the code) does the function
fit make a connection between the integers in the labels and the 10 values at the output of the net?