Code for blog post at:
https://blog.mojob.io/other/sharing-learning-experimenting-with-polyaxon/
pip install -r requirements.txt
POLYAXON_NO_OP=TRUE python -u train.py --epochs=32 \
--log_learning_rate=-3 \
--optimizer="adam" \
--first_layer_output=32 \
--kernel_size=3 \
--pool_size=2 \
--loss_metric="categorical_crossentropy" \
--epochs=2 \
--layers="conv2d:64,maxpooling2d,dropout:0.2,flatten,dense:128,dropout:0.5"
(POLYAXON_NO_OP turns of experiment logging when running training locally)