C# CNTK层上的Python操作

我不是python爱好者，我试图理解如何将一些python代码转换为C代码：

此代码是此处的一个片段：

我的问题是，

>

操作员实际上在做什么

---

是一个层，那么层发生了什么？这里有什么奇想吗？

我以前从未见过，但模型实例化似乎是答案：

Example:
 >>> model = Dense(500) >> Activation(C.relu) >> Dense(10)
 >>> # is the same as
 >>> model = Dense(500) >> C.relu >> Dense(10)
 >>> # and also the same as
 >>> model = Dense(500, activation=C.relu) >> Dense(10)

发件人：

其中：

发件人：

特别是模型中的序列

Example:
 >>> model = Dense(500) >> Activation(C.relu) >> Dense(10)
 >>> # is the same as
 >>> model = Dense(500) >> C.relu >> Dense(10)
 >>> # and also the same as
 >>> model = Dense(500, activation=C.relu) >> Dense(10)

Another example is a GRU layer with projection, which could be realized as 
``Recurrence(GRU(500) >> Dense(200))``,
where the projection is applied to the hidden state as fed back to the next 
step.
``F>>G`` is a short-hand for ``Sequential([F, G])``.