> How is this argument related to the confusion of the terms Machine Learning and Neural Networks...? We're talking about the title. > The most appropriate te

> How is this argument related to the confusion of the terms Machine Learning and Neural Networks...? We're talking about the title. > The most appropriate term is the most precise one, in this case : neural networks That is generalizing RNNs and CNNs into "neural networks". If I take a popular CNN architecture, chop off the final dense layer and activation and attach an SVM classifier, is it an SVM or a convnet I am using? Somehow the title "The Elephant in the Room confronts faster_rcnn_inception_resnet_v2_atrous_coco, faster_rcnn_nas_coco, ssd_mobilenet_v1_coco, mask_rcnn_inception_resnet_v2_atrous_coco, mask_rcnn_resnet101_atrous_coco." (or the reverse) doesn't have the same ring to it and is probably inappropriate for the audience.