How to compress your Keras model x5 smaller with TensorFlow model optimization | DLology

prune_check.py

from tensorflow.keras.models import load_model

model = load_model(final_model)
import numpy as np

for i, w in enumerate(model.get_weights()):
    print(
        "{} -- Total:{}, Zeros: {:.2f}%".format(
            model.weights[i].name, w.size, np.sum(w == 0) / w.size * 100
        )
    )