An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
does NNI have a solution for DL that allows me to feed in the inputs, outputs and evaluate the model while leaving me out of any decisions regarding the neural architecture of the model? Most of the examples I have seen force me to make some layer choices
Describe the issue:
does NNI have a solution for DL that allows me to feed in the inputs, outputs and evaluate the model while leaving me out of any decisions regarding the neural architecture of the model? Most of the examples I have seen force me to make some layer choices
Originally posted by @8W9aG in Gitter