Download: Video5179512026745012956.mp4 (5.75 Mb) -

Subtract the mean and divide by the standard deviation (specific to the dataset the model was trained on).

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"). Download: video5179512026745012956.mp4 (5.75 MB)

Convert the images into numerical arrays (tensors). 4. Extract the Global Feature Vector Subtract the mean and divide by the standard

The frames must be formatted to match the model’s requirements: Usually to Download: video5179512026745012956.mp4 (5.75 MB)