When evaluating the advantages of using deep learning for image classifiers, important points such as ease of use and cost-effectiveness need to be taken into account. Additionally, on the professional side, Auto DL helps improve data transparency and user understanding, which is especially important when separating images from large files for training and testing purposes. Review collected by and hosted on G2.com.
Automated deep learning image classifiers sometimes create problems in terms of transparency, information and needs, overfitting, intelligence, bias, interpretation, and judgment. It is important to consider these limitations as well as their benefits and specific use requirements. Review collected by and hosted on G2.com.