Study googlenet using PSGD with LMDB and hadoop parquet #146
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…20 epocs with seed intelligence around 2-5%. Data is partitioned into many lmdb without overlapping. Suggested study area. using Tensorflow as driver. Cause Caffe have a bug of auto switch from GPU to cpu with no reason. The best goal is the data distribution. Which I have not been able to dig out due to the caffe switch issue. Using predicative pushed down enabled spark sql should let you retrieving small part of data very efficiently... But this may not prove to be correct.
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