Dvdplay Malayalam Movie ((better)) Download Info
malayalam_movie_download_dvdplay
return features
model = MalayalamMovieDownloadDVDPlay() input_data = {'title': 'example movie title', 'poster_url': 'example poster url', 'download_count': 100, 'technical_features': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]} output = model(input_data) print(output) Note that this is a simplified example and you may need to modify it to suit your specific use case. Additionally, you will need to collect and preprocess the data to train and evaluate the model. dvdplay malayalam movie download
where each component is a dense vector representation of the corresponding feature. 'poster_url': 'example poster url'
The final deep feature vector can be represented as: dvdplay malayalam movie download
# Technical features technical_input = input_data['technical_features'] technical_output = self.technical_features[0](technical_input) technical_features = technical_output
# Image features image_input = input_data['poster_url'] image_output = self.image_features[0](image_input) image_features = image_output.fc(image_output.avgpool)
