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不使用任何现成库的Python中的神经网络。

[英]Neural Networks in Python without using any readymade libraries…i.e., from first principles..help!

I am trying to learn programming in python and am also working against a deadline for setting up a neural network which looks like it's going to feature multidirectional associative memory and recurrent connections among other things. 我正在尝试学习使用python编程的工作,同时也正在为建立神经网络的最后期限而努力,这看起来像神经网络将具有多方向关联内存和循环连接等功能。 While the mathematics for all these things can be accessed from various texts and sources (and is accessible, so to speak), as a newbie to python (and programming as a profession) I am kinda floating in space looking for the firmament as I try to 'implement' things!! 尽管可以从各种文本和资源中获得所有这些东西的数学信息(可以说是可以访问的),但是作为python的新手(以及作为一种职业进行编程),我还是有点漂浮在太空中寻找我的尝试“实施”的东西! Information on any good online tutorials on constructing neural networks ab initio will be greatly appreciated :) 任何有关从头开始构建神经网络的优秀在线教程的信息将不胜感激:)

In the meantime I am moonlighting as a MatLab user to nurse the wounds caused by Python :) 同时,我以MatLab用户的身份登月,以护理Python造成的伤口:)

If you're familiar with Matlab, check out the excellent Python libraries numpy , scipy , and matplotlib . 如果您熟悉Matlab,请查看出色的Python库numpyscipymatplotlib Together, they provide the most commonly used subset of Matlab functions. 它们一起提供了最常用的Matlab函数子集。

您可能对Neurolab-具有API的Python神经网络感兴趣,例如MATLAB的Neural Networks Toolbox。

我对神经网络一无所知 ,但是PyNeurGen似乎是很好的资源。

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