Layer Normalization
Artificial Intelligence
A principle stating that as the number of trials increases, the average of results tends to converge to the expected value.
Detailed Explanation
The Law of Large Numbers is a fundamental principle in statistics and AI that asserts with many repeated trials, the average outcome will approach the true expected value. This concept ensures that probabilistic models become more accurate with extensive data, enabling more reliable predictions and decision-making in AI systems by reducing the variability inherent in smaller samples.
Use Cases
- •In AI, it improves model accuracy through larger datasets, ensuring predictions stabilize and reducing variability in probabilistic outcomes.
Related Terms
Other terms in the Artificial Intelligence category