跟ICML'13一篇paper（Maxout Networks）的作者讨论一个bio-inspired deep learning的想法，得到的回复是：你的想法没啥硬伤，关键是能不能跑出更好的结果。

"Other people, including me, having worked on fairly similar things and didn't really get them to work. That doesn't mean it's impossible though; just that you might need to try a few different tricks to go with it that we haven't tried."

"In general it's very hard to predict theoretically how well a deep learning method will work in advance. You just have to get your hands dirty and try a lot of them."

虽说“实践是检验真理的唯一标准”没错，但还是觉得，现阶段的DL不像科学，更像炼金术！

接下来打算好好玩玩pylearn2和cuda-convnet了。