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Lua-based toolkit for high-performance deep learning
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speech
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use expanded features and do global transf in embedding_example
Determinant
2015-08-05
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keep up with speech repo
Determinant
2015-08-05
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put global transformation into a separate library
Determinant
2015-08-05
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remove useless get_crit
Determinant
2015-06-25
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use the standard nerv error reporting in io lib
Determinant
2015-06-25
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separate non-Lua part of matrix code to a dedicated dir
Determinant
2015-06-24
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major change: use luarocks to manage project
Determinant
2015-06-22
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keep up with speech submodule
Determinant
2015-06-21
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change concept of ParamRepo; provide generalized param update; code ↵
Determinant
2015-06-20
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clean-up; #25 #26 #27 #29
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...
Determinant
2015-06-06
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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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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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move the destination of .so files to build/lib
Determinant
2015-05-30
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add submodule: speech (nerv-speech on github)
Determinant
2015-05-29