Using stored weights to predict in a test set
Model weights stored in an hdf5 file can be reused to populate an untrained model. Once the weights are loaded into this model, it behaves just like a model that has been trained to reach these weights. For example, you can use this model to make predictions from an unseen data set (e.g. test_data).
This exercise is part of the course
Image Modeling with Keras
Exercise instructions
- Load the weights from a file called
'weights.hdf5'. - Predict the classes of the first three images from
test_data.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Load the weights from file
model.____
# Predict from the first three images in the test data
____