Question
The number of these structures distinguishes MLPs from SLPs. For 10 points each:
[10m] Name these substructures of neural networks that come in "convolution" and "pooling" types in CNNs. The "deep" in "deep learning" refers to large numbers of these structures.
ANSWER: hidden layers
[10h] The number of hidden layers is an example of these quantities that determine how a machine learning model trains. Nested cross validation "optimizes" or "tunes" these quantities that can include regularization terms and learning rates.
ANSWER: hyperparameters [accept HPs or HPO or hyperparameter optimization; prompt on parameters]
[10e] HPO can be performed naively via a "search" over one of these structures in hyperparameter space. Graph paper features these lattices of squares.
ANSWER: grids [or grid search]
<Science - Other Science - Computer Science>
Data
Team | Opponent | Part 1 | Part 2 | Part 3 | Total |
---|---|---|---|---|---|
Strake Jesuit B | Northmont | 0 | 0 | 10 | 10 |
Summary
Tournament | Edition | Exact Match? | Heard | PPB | Easy % | Medium % | Hard % |
---|---|---|---|---|---|---|---|
2025 PACE NSC | 06/07/2025 | Y | 1 | 10.00 | 100% | 0% | 0% |