RNN model incorporating Development process
This dataset contains movie reviews along with their associated binary sentiment polarity labels.
The dataset contains 50,000 reviews split evenly into 25000 train and 25000 test sets. Dataset also include an additional 50,000 unlabeled documents for unsupervised learning.
http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz
./tbrun.sh
This shell script do things below.
- Check if Tensorboard is running in the background.
- If there is no running Tensorboard process, make Tensorboard run and
disown
it. - Runs
python triain.py
in the background, anddisown
it.
python train.py
./tbrun.sh no