My understanding: AI systems get patterns from training
datasets.
Pradeep K. Suri
Author and Researcher
Reply from ChatGPT
Yes, your understanding is precise. AI systems, including
machine learning and deep learning models, learn patterns from training
datasets. These datasets serve as the foundation for the AI system's learning
process. The AI system analyses the training data, identifies patterns, and
uses these patterns to make predictions or decisions when confronted with new,
unseen data. The quality and representativeness of the training dataset are
crucial factors in the AI system's ability to acquire meaningful patterns and
generalize from them.
In summary, DNNs get patterns for predictions by learning
from training data. During training, they adjust their internal parameters to
capture patterns and relationships in the data. Once trained, they apply these
learned patterns to make predictions on new data, effectively generalizing
their knowledge from the training phase to solve real-world tasks.
Thank you.
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