Fréchet inception distance measures the quality of this type of data given two (10[1])distributions of this data. The Nightshade tool adds noise to this kind of data (10[1])to “poison” (10[3])models (10[1])that (10[1])train (10[1])on it. (10[3])A model designed for this type of data (10[1])introduced skip connections (10[1])to enable deeper models. (10[4]-5[1])A 2018 study by Buolamwini and Gebru found evidence of discriminatory disparities (10[1])in classifiers (10[2])for this type of data. (10[1]-5[1])In an architecture (10[1])primarily (10[1])used for this type (10[1])of data, pooling steps reduce dimensionality between operations (10[1]-5[1])that move a filter by a specified stride. (10[1])A collection (10[1])of this type of data developed by Fei-Fei Li was used for the ILSVRC competition. AlexNet and ResNet use convolutional neural (10[1])networks to classify this type of data. For 10 (10[1])points, name this type of data (10[1])generated by models (10[1])such as DALL-E (10[1])and (10[1])Midjourney. (10[3]) (10[5]0[1])■END■