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Ronan Collobert, collober@iro.umontreal.ca
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[new!] You should have a look on this presentation written by Samy Bengio which introduces main concepts in Torch.

Here is an abstract:
There are several concepts to know in Torch, if you plan to use it:


A DataSet is a black-box which could provide all kind of data. For example you have:

A Machine is a learning-machine. It could be: A Trainer is a class which takes a Machine and a DataSet, and which is able to train or test the machine. It could be: A Measurer is a special class which is called by a Trainer, during the train phase or the test phase. It's always associated to a DataSet. It could measure everything on your machine, on the DataSet that you provide. Here are some examples:


Ok, almost all classes in Torch are one of these classes... Easy, no ? If you want to have an idea of all classes which are available to the public, just have a look on the reference manual...