If you don't need native Python library, considering using an established neural network library with Python bindings. For instance FANN (Fast Artificial Neural network Library) provides such binding.
If you explicitly need a library written in Python, I would suggest checking out Orange. Orange is an open source data visualization and analysis platform that can be either used as a library or a full GUI. it does not readily support everything you might need, but potentially you will find modules suitable work neural networks, such as Orange SNNS module (not sure about its stability though). If you need to write a module of your own, Orange is a good candidate for a platform since it provides you with some basic tools.
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如果您不需要本机 Python 库，请考虑使用带有 Python 绑定的已建立的神经网络库。例如FANN（快速人工神经网络库）提供此类绑定。
如果您明确需要一个用 Python 编写的库，我建议您查看 Orange。 Orange 是一个开源数据可视化和分析平台，可以用作库或完整的 GUI。它并不容易支持您可能需要的所有内容，但您可能会找到适合神经网络工作的模块，例如 Orange SNNS 模块 （但不确定它的稳定性）。如果您需要编写自己的模块，Orange 是一个很好的平台候选者，因为它为您提供了一些基本工具。
If you don't need native Python library, considering using an established neural network library with Python bindings. For instance FANN (Fast Artificial Neural network Library) provides such binding.
If you explicitly need a library written in Python, I would suggest checking out Orange. Orange is an open source data visualization and analysis platform that can be either used as a library or a full GUI. it does not readily support everything you might need, but potentially you will find modules suitable work neural networks, such as Orange SNNS module (not sure about its stability though). If you need to write a module of your own, Orange is a good candidate for a platform since it provides you with some basic tools.
你应该看看 pybrain。
这是我发现的最完整且对程序员最友好的。
You should take a look at pybrain.
It's the most complete and programmer-friendly that I've found.
观看neurolab！您可以配置您的网络。简单的 API，如 MATLAB 的神经网络工具箱。
Watch neurolab! You may configure your networks. Easy API like Neural network toolbox from MATLAB.