Computer Vision, Deep Learning, Explainable Ai, Anomaly Detection, Editors Pick.
there will be 512 feature maps of size 14×14 (input image of size 224×224 was downsampled each time twice by 4 Pooling layers). Image 6. Feature Maps from Layer Conv5–3 (after ReLU activation). There are 512 feature maps total, each of size 14×14; visualized only some of them. Image by Author Step