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Caffe_train_test_full
Caffe_train_test_full
ML_2017ACNTT
ML_2017ACNTT
Bai_tap_hoc_may_CNTT2017A.py
Bai_tap_hoc_may_CNTT2017A.py
MobileNetSSD_train_no_bias.prototxt
MobileNetSSD_train_no_bias.prototxt
PC-spec.txt
PC-spec.txt
README.md
README.md
Upload to git.txt
Upload to git.txt
benchmark_mali.py
benchmark_mali.py
convert_caffe_mxnet_mobilenetSSD.py
convert_caffe_mxnet_mobilenetSSD.py
darknet_map.py
darknet_map.py
duycuongAI-PC
duycuongAI-PC
fuse_bn_conv.py
fuse_bn_conv.py
mAP_eval_voc.py
mAP_eval_voc.py
main_map_tool_cartucho.py
main_map_tool_cartucho.py
mobilenet_rebuild_quantization.py
mobilenet_rebuild_quantization.py
mobilenet_ssd_300-0000.params
mobilenet_ssd_300-0000.params
mobilenet_ssd_300-symbol.json
mobilenet_ssd_300-symbol.json
mobilenet_ssd_300_quantize_channel.csv
mobilenet_ssd_300_quantize_channel.csv
mobilenet_ssd_rebuild.py
mobilenet_ssd_rebuild.py
test_mobilenet_ssd_300.py
test_mobilenet_ssd_300.py
train_fixed_beta.log
train_fixed_beta.log
train_fixed_beta_gamma.log
train_fixed_beta_gamma.log
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DeepLearning
to train data on RAM: cp -vrf data_dir /run/shm/ (copy data to RAM)
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