This project utilizes Python and TensorFlow to build a machine learning model for classifying flowers into 102 distinct classes. The project leverages TensorFlow’s pre-trained MobileNetV2 model for feature extraction, with a custom classifier added on top to fine-tune the model for the specific task of flower classification.
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This project utilizes Python and TensorFlow to build a machine learning model for classifying flowers into 102 distinct classes. The project leverages TensorFlow’s pre-trained MobileNetV2 model for feature extraction, with a custom classifier added on top to fine-tune the model for the specific task of flower classification.
hadeelbkh/flower-classifier
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This project utilizes Python and TensorFlow to build a machine learning model for classifying flowers into 102 distinct classes. The project leverages TensorFlow’s pre-trained MobileNetV2 model for feature extraction, with a custom classifier added on top to fine-tune the model for the specific task of flower classification.
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