Project 24: Model Load & Verify
ML Engineer
Builds on these lessons
Current Task
Objective
tf.keras.models.load_model() restores a previously saved model, layers and all, ready to use again without redefining it.
Task: save a model, then load it back and print how many layers it has.
index.py
import tensorflow as tf
from tensorflow.keras import layers, Sequential
model = Sequential([layers.Dense(1, input_shape=(1,))])
model.save('calendar_model.keras')
loaded_model = tf.keras.models.load_model('calendar_model.keras')
print(len(loaded_model.layers))
* Hint: Correct characters turn green, incorrect ones turn red.
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