Deep learning has achieved incredible successes in tasks such as image recognition, speech recognition, language translation, and autonomous driving. However, there are still many challenges to overcome, such as data requirements, overfitting, interpretability, computation and resources, data bias, generalization, and adversarial attacks.
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