Obviously overfitting is always a concern, but deep learning has (when done correctly) found ways to mitigate concerns about overfitting. Dropout, for instance

Obviously overfitting is always a concern, but deep learning has (when done correctly) found ways to mitigate concerns about overfitting. Dropout, for instance, or k-fold cross validation.