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Lua-based toolkit for high-performance deep learning
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Age
*
add CombinerLayer to support branches in NN; add MSELayer
Determinant
2015-06-10
*
fix #20
Determinant
2015-06-09
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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
*
demo now works (without random shuffle)
Determinant
2015-06-03
*
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
*
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
*
should support multiple input/output for layers
Determinant
2015-05-28
*
...
Determinant
2015-05-27
*
add implementation for sigmoid layer (not tested)
Determinant
2015-05-27
*
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
*
add layer and param
Determinant
2015-05-26