recurrent-neural-net:C语言中的递归(LSTM)神经网络

上传者: 42136837 | 上传时间: 2022-05-16 16:26:09 | 文件大小: 6.07MB | 文件类型: ZIP
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递归神经网络 在设计可以适应和学习模式的系统的过程中,我们将探索有关复杂的生物系统(例如人脑)如何工作的基本,基本,水平的理论。 我觉得这很迷人。 递归神经网络是一个包含反馈回路并可以存储过去信息的系统。 为了对长期依存关系进行建模(例如可以在自然语言处理中找到),这是必需的。 该程序将学习产生类似于使用C语言实现的LSTM网络进行过训练的文本。该回购协议的灵感来自Andrej Karpathys char-rnn : : 但而是以C语言实现,以便在更受限的环境中使用。 建造 CMake的 这是在Windows上构建它的首选方法。 # Build using cmake mkdir build cd build cmake .. cmake --build . 介子 这可以在多个平台上运行,唯一的要求是Python3。 # Create virtual environment

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