nerv - Lua-based toolkit for high-performance deep learning

	Commit message (Collapse)	Author	Age
*	fix #22	Determinant	2015-06-09
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*	...	Determinant	2015-06-08
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*	add get_params to all layers	Determinant	2015-06-05
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*	add profiling; add ce accurarcy; several other changes	Determinant	2015-06-05
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*	demo now works (without random shuffle)	Determinant	2015-06-03
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*	fix a bug: input[1] should be input[2] (since Lua arrays are 1-based)	Determinant	2015-06-02
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*	add ParamRepo, LayerRepo, DAGLayer	Determinant	2015-06-02
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*	add preprocessing layers and change layer constructor interface	Determinant	2015-06-02
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*	add expand_frm, rearrange_frm, scale_row	Determinant	2015-06-01
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*	rename param file to chunk file (intend to generalize it)	Determinant	2015-05-30
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*	add softmax + ce layer; test_dnn_layers produces the same result as TNet	Determinant	2015-05-28
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*	should support multiple input/output for layers	Determinant	2015-05-28
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*	...	Determinant	2015-05-27
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*	add implementation for sigmoid layer (not tested)	Determinant	2015-05-27
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*	fix a severe bug in memory management of userdata	Determinant	2015-05-26
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*	add affine layer implementation	Determinant	2015-05-26
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*	add fill for cumatrix	Determinant	2015-05-26
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*	add add_row for cumatrix	Determinant	2015-05-26
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*	add layer and param	Determinant	2015-05-26