ACtE09 · Chapter 9AI & Neural Networks🏛️ Past Licensure QuestionID: 26f6f38e
In Artificial Neural Networks (ANN), training time complexity directly depends on:
In Artificial Neural Networks (ANN), training time complexity directly depends on:
Multiple Choice Options
- A✓ Correct Option
Number of epochs
- B
Number of layers
- C
Activation function
- D
Training dataset
Detailed Technical Solution & Explanation
Total training time complexity of backpropagation is directly proportional to the number of epochs (complete passes over the dataset) multiplied by the number of training samples and forward-backward weight computations per sample.
Option Analysis:
•
Option A (Number of epochs): Correct. Total training time scales linearly with the number of training iterations / epochs.
•
Option B (Number of layers): Affects per-sample cost, but total training duration is governed by epoch count.
•
Option C (Activation function): Influences convergence speed but not algorithmic loop scale.
•
Option D (Training dataset): Affects per-epoch cost.
Reference: Demo · Set 4NEC Licensure Syllabus