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深度学习中的一些小Demo。
| Date | Stars |
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| 2026-07-31 | 429 |
| 2026-08-06 | 428 |
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# DeepLearningExamples 个人编写的一些深度学习小Demo，欢迎大佬们批评指正。当前有如下Demo，后面会持续更新： - [使用TensorFlow 2.0 编写的、基于循环神经网络的古诗生成器](https://github.com/AaronJny/DeepLearningSamples/tree/master/tf2-rnn-poetry-generator) - [使用Keras + BERT 模型编写的古诗生成器](https://github.com/AaronJny/DeepLearningSamples/tree/master/keras-bert-poetry-generator) - [从零开始编写一个宠物识别系统（爬虫、模型训练和调优、模型部署、Web服务）](https://github.com/AaronJny/pets_classifer) - [深度学习下的目标检测算法——TensorFlow 2.0下的YOLOv3实践](https://github.com/AaronJny/tf2-keras-yolo3) - [使用TensorFlow 2.0 编写的图片神经风格迁移](https://github.com/AaronJny/DeepLearningSamples/tree/master/tf2-neural-style-transfer) - [使用Keras + BERT 模型编写的情感分析Demo](https://github.com/AaronJny/DeepLearningSamples/tree/master/keras-bert-emotional-classifier) - [使用TensorFlow 2.0 编写的、基于循环神经网络的情感分析Demo](https://github.com/AaronJny/DeepLearningSamples/tree/master/tf2-rnn-emotional-classifier) - [xyolo:YOLOv3的高度封装版本，几行代码实现模型的训练和调用](https://github.com/AaronJny/xyolo) - [使用xyolo+孪生神经网络解决点选式验证码](https://github.com/AaronJny/captcha_detection) 这里还有一些非深度学习的有趣的想法： - [100%成功率的顶象面积验证码识别思路](https://github.com/AaronJny/DeepLearningExamples/tree/master/counter-dingxiang-area-captcha) # 错误排除 1.当使用PyCharm打开并调试项目时，发现py文件的引用路径有误，怎么办？ 答：将当前要调试的小项目的路径设置为`Sources Root`，并取消其他小项目路径的`Sources Root`设置。比如我们要调试的是`keras-bert-poetry-generator`，设置`Sources Root`的方法为`右键点击keras-bert-poetry-generator文件夹 -> Mark Directory as -> Sources Root`，取消的方法同理，取消`Sources Root`的方法为`右键点击keras-bert-poetry-generator文件夹 -> Mark Directory as -> Unmark as Sources Root`。
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:298c3f20d1e28f03, llm:Repository description: '深度学习中的一些小Demo' (some small demos in deep learning). No topics provided. Language: Python.