DeepSpeech/bin
2018-11-26 02:09:03 +03:00
..
benchmark_nc.py initial german commit 2018-11-26 02:09:03 +03:00
benchmark_plotter.py initial german commit 2018-11-26 02:09:03 +03:00
gpu_usage_chart initial german commit 2018-11-26 02:09:03 +03:00
gpu_usage_plot initial german commit 2018-11-26 02:09:03 +03:00
graphdef_binary_to_text.py initial german commit 2018-11-26 02:09:03 +03:00
import_cv.py initial german commit 2018-11-26 02:09:03 +03:00
import_fisher.py initial german commit 2018-11-26 02:09:03 +03:00
import_ldc93s1.py initial german commit 2018-11-26 02:09:03 +03:00
import_librivox.py initial german commit 2018-11-26 02:09:03 +03:00
import_swb.py initial german commit 2018-11-26 02:09:03 +03:00
import_ted.py initial german commit 2018-11-26 02:09:03 +03:00
import_timit.py initial german commit 2018-11-26 02:09:03 +03:00
import_ts.py initial german commit 2018-11-26 02:09:03 +03:00
import_voxforge.py initial german commit 2018-11-26 02:09:03 +03:00
job-template.sbatch initial german commit 2018-11-26 02:09:03 +03:00
ops_in_graph.py initial german commit 2018-11-26 02:09:03 +03:00
README.md initial german commit 2018-11-26 02:09:03 +03:00
run-cluster.sh initial german commit 2018-11-26 02:09:03 +03:00
run-ldc93s1.sh initial german commit 2018-11-26 02:09:03 +03:00
run-tc-ldc93s1_checkpoint.sh initial german commit 2018-11-26 02:09:03 +03:00
run-tc-ldc93s1_new.sh initial german commit 2018-11-26 02:09:03 +03:00
run-tc-ldc93s1_singleshotinference.sh initial german commit 2018-11-26 02:09:03 +03:00
run-tc-ldc93s1_tflite.sh initial german commit 2018-11-26 02:09:03 +03:00

Utility scripts

This folder contains scripts that can be used to do training on the various included importers from the command line. This is useful to be able to run training without a browser open, or unattended on a remote machine. They should be run from the base directory of the repository. Note that the default settings assume a very well-specified machine. In the situation that out-of-memory errors occur, you may find decreasing the values of --train_batch_size, --dev_batch_size and --test_batch_size will allow you to continue, at the expense of speed.