In the next examples, we are going to perform linear regression using TensorFlow, helping you understand additional concepts you will need when training and testing your deep learning algorithms.
More specifically, we are going to see three scripts. In each script, we are going to cover the following topics:
- tensorflow_linear_regression_training.py: This script generates the linear regression model.
- tensorflow_linear_regression_testing.py: This script loads the created model and uses it to make new predictions.
- tensorflow_save_and_load_using_model_builder.py: This script loads the created model and exports it for inference using SavedModelBuilder(). Additionally, this script also loads the final model to ...
