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I am eager to apply incremental learning not only in academic papers, for example, just evaluating model accuracy results; but also in practical scenarios, such as enabling continuous evolution of the model. However, after studying some incremental learning code, I have not yet found any that involve saving the trained model for further retraining, or simply saving the incrementally trained model for future classification tasks. I wonder what your thoughts are on this? If there are any difficulties or complexities in such an implementation, could you please provide me with some guidance? I would greatly appreciate your help in resolving my doubts!
The text was updated successfully, but these errors were encountered:
I am eager to apply incremental learning not only in academic papers, for example, just evaluating model accuracy results; but also in practical scenarios, such as enabling continuous evolution of the model. However, after studying some incremental learning code, I have not yet found any that involve saving the trained model for further retraining, or simply saving the incrementally trained model for future classification tasks. I wonder what your thoughts are on this? If there are any difficulties or complexities in such an implementation, could you please provide me with some guidance? I would greatly appreciate your help in resolving my doubts!
The text was updated successfully, but these errors were encountered: