Trained AE model by cifar10.
Compared to the original implementation, we have added batchnorm and changed the compression dimension.
paper
Feed-forward architecture
epoch: 189
test_loss 0.010081866756081581epoch: 48
test_loss 0.03823928162455559Convolutional auto encoder architecture
epoch: 68
test_loss 4.327146598370746e-05epoch:
epoch: 86
test_loss 0.001922393450513482If you test this script, please remove below in Dockerfile.
WORKDIR /root
COPY setup_vim/ ./setup_vim/
RUN ./setup_vim/neovim/scripts/install_dependencies_root.sh && \
./setup_vim/neovim/scripts/install_dependencies_user.shgit clone $REPO_URL
cd ae_tutorial
cp .env.sample .env
# Specify your environments
vi .env
docker compose build
docker compose up -d
docker compose exec app sh
./train.sh
docker compose down






































