Why The Model Is Training On Only 1875 Training Set Images If There Are 60000 Images In The Mnist Dataset?

I am trying to create a simple CNN to classify images in MNIST dataset. The model achieved an acceptable accuracy but I noticed that the model is trained only on 1875 images in eac

Solution 1:

There's no problem with the training. Model is being trained on 1875 batches of 32 images each, not 1875 images.

1875*32 = 60000 images