Please post your solutions to the Dec 1 In-Class Exercise Thread.
Best,
Chris
The graphs differ slightly because the data is shuffled for each run and the validation data batches used would most likely be different for each epoch/run.
(Edited: 2021-12-01)How similar are the curves? Why aren't they the same? The curves are similar in a way they are rising towards better accuracy every epoch. The curves are not exactly the same because the weights are initialized differently in every run, also the batches are randomly chosen in every run.
The curves are similar in the sense that they go towards higher accuracy in each iteration. However, they are not exactly the same because with each run the data is shuffled (chosen randomly).
(Edited: 2021-12-01)The graphs differ slightly because the data is shuffled for each run and the validation data batches used would most likely be different for each epoch/run.
(Edited: 2021-12-01)The validation data batches used are different for each epoch/run. and also data has been shuffled for each run. This is why the graphs differ slightly.
(Edited: 2021-12-01)The graphs are not similar because the data is shuffled for each run and the validation data batches change for every epoch.
(Edited: 2021-12-01)
The curves are similar in that each iteration progresses toward greater precision. They are not identical, though, because the data is scrambled with each iteration
Because the data is shuffled for each run, and the validation data batches utilized are most likely different for each epoch or run, the graphs differ slightly.
Over here Graphs are different because the data is shuffled for each run and the validation data batches change for every epoch.