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theano.scan()原型为：
theano.scan(
fn,
sequences=None,
outputs_info=None,
non_sequences=None,
n_steps=None, truncate_gradient=-1,
go_backwards=False,
mode=None,
name=None,
profile=False,
allow_gc=None,
strict=False
)
fn：一个函数，要求scan的每一个步骤都需要执行这个函数，可以有多个参数，对应于scan其他几个参数，例，如下调用：
scan(fn,
sequences = [ dict(input= Sequence1, taps = [-3,2,-1]),
Sequence2,
dict(input = Sequence3, taps = 3) ],
outputs_info = [ dict(initial = Output1, taps = [-3,-5]),
dict(initial = Output2, taps = None),
Output3 ],
non_sequences = [ Argument1, Argument2])
fn函数的参数列表为如下顺序， t表示当前迭代：
1. Sequence1[t-3]
2. Sequence1[t+2]
3. Sequence1[t-1]
4. Sequence2[t]
5. Sequence3[t+3]
6. Output1[t-3]
7. Output1[t-5]
8. Output3[t-1]
9. Argument1
10. Argument2
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原文地址：http://www.cnblogs.com/zhuangliu/p/5413543.html
