As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly.
Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that can be used to support modeling classification and regression problems using Python and the Kera framework.
Version 5 of the deep learning templates contain minor adjustments and corrections to the prevision version of the templates. Also, the new templates added the sample code to support:
- Baseline model creation via both scikit-learn’s KFold cross-validation or Kera’s built-in validation_data parameter.
- Hyperparameter tuning via scikit-learn’s GridSearchCV function or Python “for” loops
You will find the Python deep learning templates on the Machine Learning Project Templates page.