Monday 18 September 2023

My understanding: AI systems get patterns from training datasets.






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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