An epoch can be read as one pass through the pinned samples in a stated order. This lesson counts visits and updates before making any convergence claim.
highlighted = computed this step
Pin the pass order
For this pinned pass, the sample order is s2 then s3. An epoch here means one visit to each sample in that stated order.
s2→s3
Count the visits
There are 2 pinned samples in the pass, so the visit count is 2. Each sample appears once.
visit count=2
Each visit makes one update
The first visit, s2, lands at (1/2, 3/2). The second visit, s3, lands at (-1/4, 0). That gives 2 updates in one pass.
update count=2
Boundary
This is pass, count, and order bookkeeping for pinned samples only: NOT convergence, NOT generalization, NOT learning, NOT training success, NOT accuracy, NOT calibration, NOT probability truth, NOT model quality.