158b - Transfer learning using CNN (VGG16) as feature extractor and Random Forest classifier

Опубликовано: 22 Сентябрь 2020
на канале: DigitalSreeni
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This video explains the process of using pretrained weights (VGG16) as feature extractors for traditional machine learning classifiers (Random Forest).

Code generated in the video can be downloaded from here:
https://github.com/bnsreenu/python_fo...

Keras pretrained models: https://keras.io/api/applications/