Model Evaluation
Explore how to evaluate a regression model by monitoring loss convergence and using the TensorFlow Estimator's evaluation function. Understand batch size effects and TensorBoard visualizations to interpret model performance and ensure effective model validation.
We'll cover the following...
We'll cover the following...
Chapter Goals:
- Evaluate the regression model
A. Evaluating with the Estimator
We train the model long enough that the loss begins to show signs of convergence (for our 2 hidden layer MLP model, this is around 2M training steps). To get a ...