Model Evaluation
Explore how to assess deep learning model performance using Keras' evaluate method. Understand how to interpret loss and accuracy metrics to determine how well your model fits the data. This lesson guides you in using evaluation techniques critical for validating and improving model predictions.
We'll cover the following...
We'll cover the following...
The evaluate method
Evaluation is a process for checking whether the model is the best fit for the given dataset.
π NoteL: Ideally, we make a train and validation split of the dataset. Then, check the accuracy of the model on the validation set to examine how well the model has learned the data representation. However, if we have not made the initial split, check the training ...