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Building ResNet152 Model for Image Classification with Small Dataset (95% accuracy) | Tensorflow 2.0

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CLASS_NAMES = np.array(['owl','galaxy', 'lightning','wine-bottle','t-shirt','waterfall', 'sword', 'school-bus', 'calculator','sheet-music','airplanes', 'lightbulb', 'skyscraper','mountain-bike','fireworks', 'computer-monitor','bear','grand-piano','kangaroo','laptop',], dtype='