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Here's a hypothetical example of what the deep feature vector might look like:

# Audio features (if applicable) audio_embedding = np.random.rand(128) Twistys Sasha Grey Humpme Bogart 720p VICTORY

# Visual features (face embedding) face_embedding = np.random.rand(128) Here's a hypothetical example of what the deep

import numpy as np

# Metadata features (text encoding) title_encoding = np.random.rand(256) studio_encoding = np.random.rand(128) person_encoding = np.random.rand(128) 1]) # [adult

# Tag features tags = np.array([1, 1, 0, 0, 1]) # [adult, explicit, Twistys, Sasha Grey, Humpme Bogart]