# Video features (e.g., using YouTube-8M) video_features = np.load('youtube8m_features.npy')
import pandas as pd import numpy as np from tensorflow.keras.preprocessing.text import Tokenizer from tensorflow.keras.preprocessing.image import ImageDataGenerator from tensorflow.keras.applications import VGG16 from tensorflow.keras.layers import Dense, concatenate
# Output output = multimodal_dense This example demonstrates a simplified architecture for generating deep features for Indonesian entertainment and popular videos. You may need to adapt and modify the code to suit your specific requirements.
# Load data df = pd.read_csv('video_data.csv')
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# Video features (e.g., using YouTube-8M) video_features = np.load('youtube8m_features.npy')
import pandas as pd import numpy as np from tensorflow.keras.preprocessing.text import Tokenizer from tensorflow.keras.preprocessing.image import ImageDataGenerator from tensorflow.keras.applications import VGG16 from tensorflow.keras.layers import Dense, concatenate
# Output output = multimodal_dense This example demonstrates a simplified architecture for generating deep features for Indonesian entertainment and popular videos. You may need to adapt and modify the code to suit your specific requirements.
# Load data df = pd.read_csv('video_data.csv')
