Table 5 CNN models for deep feature extraction.
From: An efficient bearing fault detection strategy based on a hybrid machine learning technique
Model | Densenet201 | Vgg16 | Vgg19 | MobileNetv2 | Inceptionv3 | ResNet50 | Inceptionresnetv2 |
|---|---|---|---|---|---|---|---|
Input size | 224 × 224 | 224 × 224 | 224 × 224 | 224 × 224 | 299 × 299 | 224 × 224 | 299 × 299 |
Feature layer | fc1000 | fc8 | fc8 | Logits | Predictions | fc1000 | Predictions |
Number of extracted features | 17,024 | 4224 | 5504 | 9920 | 17,216 | 26,560 | 17,024 |
