Download: Video5179512026745012956.mp4 (5.75 Mb) May 2026

Instead of the final classification layer (which would say "dog" or "running"), you extract the output from the (often called the "bottleneck" or "pooling layer").

Convert the images into numerical arrays (tensors). 4. Extract the Global Feature Vector

Use ResNet-50 or ViT (Vision Transformer) pre-trained on ImageNet.