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nitishsrivastava / deepnet

Implementation of some deep learning algorithms.
BSD 3-Clause "New" or "Revised" License
896 stars 438 forks source link

how helpful if there is a wiki #5

Open qianlongzju opened 11 years ago

qianlongzju commented 11 years ago

I am now struggling to figure out how to run the model for dbm from http://www.cs.toronto.edu/~nitish/multimodal/

It's really helpful if there is a wiki helping us run the model step by step...That will be a good start point..

nitishsrivastava commented 11 years ago

I agree. Will set it up soon.

ghost commented 10 years ago

Since this package is very useful and almost covers everything of deep learning algorithms, I highly recommend Nitish Srivastava to give more explanations on functions of each script and (more necessary) parameter. Then we can better use it and further contribute to it.

rahulmohan commented 10 years ago

@zs11235: Is there anything specific you had questions about? I ran all of the examples and played around with them and have a pretty good grasp of the library now. By the way, if you look at the .proto file in the deepnet/proto folder you can find all possible functions, parameters, etc.

ghost commented 10 years ago

@rahulmohan Because I'm new to this library, it's not easy for me to set various params properly in my own experiment. I see the file you mentioned, it lists all the functions and params, but without their explanation. How to find the meaning of one param, like adaptive_prior? Thank you.

KerrChen commented 9 years ago

I'm trying to use this library in my own experiment, It really difficult to find the meaning of param and get starting, Is there any helpful materials?