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C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection解读
This work focuses on AIGC detection to develop universaldetectors capable of identifying various types of forgery im-ages. Recent studies have found large pre-trained models,such as CLIP, are effectiv
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection解读
This work focuses on AIGC detection to develop universaldetectors capable of identifying various types of forgery im-ages. Recent studies have found large pre-trained models,such as CLIP, are effectiv
基于tensorflow的手写数字识别（mnist）
本案例使用经典的MNIST手写数字数据集，通过Keras构建全连接神经网络，实现0-9数字的分类识别。关键概念图解完整实现代码训练过程可视化模型效果深度分析。
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