LaTeX画神经网络图
以下为《LaTeX画神经网络图》的无排版文字预览，完整内容请下载
LaTeX
绘制网络结点图的tikz库
在控制论或者是智能领域，神经网络是经常接触到的，另外，研究网络时，也经常需要绘制网络结点图，下面介绍一个tikz库可以非常方便地绘制这类图。
The following example shows a Rearrangeable Clos Network：
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Kalman Filter System Model
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神经网络绘图包
包的整体设计非常不错，使用也很方便，作者使用该包写了一个版面不错的文档。
Linear regression may be visualised as a graph. The output is simply the weighted sum of?the inputs:
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Logistic regression is a powerful tool but it can only form simple hypotheses, since it operates?on a linear combination of the input values (albeit applying a non-linear function as soon as?possible). Neural networks are constructed from layers of such non-linear mixing elements,?allowing development of more complex hypotheses. This is achieved by stacking4 logistic?regression networks to produce more complex behaviour. The inclusion of extra non-linear?mixing stages between the input and the output nodes can increase the complexity of the?network, allowing it to develop more advanced hypotheses. This is relatively simple:
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The presence of multiple layers can be used to construct all the elementary logic gates. This?in turn allows construction of advanced digital processing logic in neural networks – and?this construction occurs automatically during the learning stage. Some examples are shown?below, which take inputs of 0/1 and which return a positive output for true and a non-positive?output for false:
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From these, it becomes trivial to construct other gates. Negating the ?values produces?the inverted gates, and these can be used to constru 内容过长，仅展示头部和尾部部分文字预览，全文请查看图片预览。 结构为例，把Caffe中example/mnist/lenet_train_test.prototxt文件的内容复制到编译框，按shift + enter,立即就可以得到可视化的结构图。?
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Keras
Python/draw_net.py, 这个文件，就是用来绘制网络模型的。也就是将网络模型由prototxt变成一张图片。
绘制Lenet模型
# sudo python python/draw_net.py examples/mnist/lenet_train_test.prototxt netImage/lenet.png --rankdir=TB
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（部分）
Keras
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