TransferLearning_VGG16-
所属分类：人工智能/神经网络/深度学习
开发工具：Jupyter Notebook
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上传日期：2023-09-05 04:45:20
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sh-1993
说明： 在花卉数据集上评估预训练的VGG16分类模型，获得97.37%的准确率，并用早期...，
(Evaluated pre-trained VGG16 classification model on flower dataset to get 97.37% accuracy, and built VGG16 model from scratch with early stopping to get 76% accuracy.)
文件列表:
Transfer_Learning_with_VGG16_for_Flower_classification.ipynb (18625, 2023-09-04)
# TransferLearning_VGG16
Evaluated pre-trained VGG16 classification model on flower dataset to get 97.37% accuracy, and built VGG16 model from scratch with early stopping to get 76% accuracy.
TensorFlow, OpenCV, VGG16 model are implemented here.
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