- You can save your model during and after training:pythonCopy code
model.save('model.h5') # Loading the model from tensorflow.keras.models import load_model model = load_model('model.h5')
model.save('model.h5') # Loading the model from tensorflow.keras.models import load_model model = load_model('model.h5')
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