The performance of your machine learning model depends on your configuration. Finding an optimal configuration, both for the model and for the training algorithm, is a big challenge for every machine learning engineer. Model configuration can be defined as a set of hyperparameters which influences model architecture. In case of deep learning, these can be […]
The post Keras Tuner: Lessons Learned From Tuning Hyperparameters of a Real-Life Deep Learning Model appeared first on neptune.ai.
from Planet SciPy
read more
No comments:
Post a Comment