DeepSpeech/bin
2019-04-16 11:06:26 -03:00
..
benchmark_nc.py Remove AOT 2018-09-20 17:02:36 +02:00
benchmark_plotter.py Remove AOT 2018-09-20 17:02:36 +02:00
gpu_usage_chart Remove deprecated automation code 2018-07-30 12:36:31 +02:00
gpu_usage_plot Remove deprecated automation code 2018-07-30 12:36:31 +02:00
graphdef_binary_to_text.py Add tool to convert graph protobuf to pbtxt 2018-08-02 13:22:24 -03:00
import_cv2.py Updated README, some code beautification 2019-04-02 19:41:33 +02:00
import_cv.py Added missing import 2019-03-19 15:42:41 +01:00
import_fisher.py Addressed review comment 2018-11-19 14:26:34 +01:00
import_gram_vaani.py Addressed review comments 2019-04-03 12:33:30 +02:00
import_ldc93s1.py Remove deprecased tensorflow.contrib.learn.python.learn.datasets.base.maybe_download 2018-10-02 10:59:16 +02:00
import_librivox.py Remove deprecased tensorflow.contrib.learn.python.learn.datasets.base.maybe_download 2018-10-02 10:59:16 +02:00
import_swb.py Fixed #1740 (Switchboard Importer Creates WAV's at 8KHz not 16KHz) 2018-11-24 08:22:38 +01:00
import_ted.py Remove deprecased tensorflow.contrib.learn.python.learn.datasets.base.maybe_download 2018-10-02 10:59:16 +02:00
import_timit.py removed blank 2017-09-12 15:09:02 +01:00
import_ts.py Use latest TS dataset 2019-02-20 10:08:56 +01:00
import_voxforge.py Remove deprecased tensorflow.contrib.learn.python.learn.datasets.base.maybe_download 2018-10-02 10:59:16 +02:00
ops_in_graph.py Address review comments 2018-08-03 14:46:05 -03:00
README.md Fix #328; distributed TensorFlow 2017-03-31 17:10:34 +02:00
run-ldc93s1.sh Rename epoch flag to epochs 2019-04-05 09:30:50 -03:00
run-tc-ldc93s1_checkpoint.sh Rename epoch flag to epochs 2019-04-05 09:30:50 -03:00
run-tc-ldc93s1_new.sh Rename --train_cached_features_path to --feature_cache 2019-04-16 11:06:26 -03:00
run-tc-ldc93s1_singleshotinference.sh Rename epoch flag to epochs 2019-04-05 09:30:50 -03:00
run-tc-ldc93s1_tflite.sh Check if train/dev/test files were passed in instead of having explicit flags 2019-04-04 22:41:38 -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.