Evaluating Continual Deep Learning: a New Benchmark for Image Classification
Retraining deep networks to adopt new data or tasks (e.g. new labels) is of practical importance in machine learning engineering. The challenge may establish itself distinctly in different fields.
Retraining deep networks to adopt new data or tasks (e.g. new labels) is of practical importance in machine learning engineering. The challenge may establish itself distinctly in different fields.
challenge, tasks, different fields, practical importance, new labels, new data, deep networks, machine learning engineering
