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100644 blob 237ab96a3e32ac523e8022e8c53f035758d011e5	Makefile
100644 blob 555316dd1ac365d0d9d85f53d0dc9223eb8a4214	README.md
100644 blob 21029da4678b03945ff88cbd81e5ee470d3af364	alexnet.cpp
100644 blob 94e9455c59415df7cd74c93fb4e9fd9efc373033	charRNN.cpp
100644 blob ef99d74264141b5cdf7c9c94d9ee600beb02e9f7	example.mk
040000 tree 7a6f6fd7025790113468b027ef21100f1fec7511	feature_extract
100755 blob e11077234adee3cc6044419fe632016e5cb54bd3	get_data.sh
100644 blob 9cf1834cf22c11e503ec1cfb09c82d9592a8d28f	googlenet.cpp
100644 blob caf858a64177ff8c1a1391f1ab62cd5ef35a8aef	inception_bn.cpp
040000 tree f6e08d4ebe42185f8f58c8d8a116f8f7991dee4d	inference
100644 blob a52efd8fed40375ec616e5aa95e3defd25af366b	lenet.cpp
100644 blob 69067d5493804310d0032975278734c4365502ba	lenet_with_mxdataiter.cpp
100644 blob ee09bf8da3f8c01889a2e63c2f4be75f56c9d5ee	mlp.cpp
100644 blob 7ea6946dd8c2e57b25b5ca4560867831c3044110	mlp_cpu.cpp
100644 blob 09842e3b402bf59649529cf1acf8fb07be82981d	mlp_csv.cpp
100644 blob 5265de79d976fd050456576861cd2c648d412af2	mlp_gpu.cpp
100644 blob dad9ed5f9c72a025434d334ca5f80f72d0dc4ddc	mnist_to_csv.py
100644 blob 8f8fd12e32ce3bc8dab0d4accba1c19f18c7e8a5	resnet.cpp
100755 blob cafad3201635588c3ef312416d15abab0c0b790b	run_lenet_with_mxdataiter.sh
100644 blob d9e0400a5ac885f2fa624510e4c5435b3015b498	test_kvstore.cpp
100644 blob a3b3011993fac7da8215ed555a7c06cc06b32a3c	test_ndarray_copy.cpp
100644 blob 70190eff5dc622281ee568c15b947d49fc5e2cae	test_optimizer.cpp
100644 blob 8d1d6444b1388e55dd203edf186a9cb7ee2dfbc3	test_regress_label.cpp
100644 blob 0ccdf65b3b194762085355ed6939081b18c5522b	test_score.cpp
040000 tree 01c4e13116e198da543db74260ad059a44e32873	unittests
100644 blob 87847701ce6e3c05551ec783d5f254e0383353f6	utils.h