load model keras
from tensorflow import keras
model = keras.models.load_model('path/to/location')
load model keras
from tensorflow import keras
model = keras.models.load_model('path/to/location')
export keras model at specific epoch
import keras
class CustomSaver(keras.callbacks.Callback):
def on_epoch_end(self, epoch, logs={}):
if epoch == 2: # or save after some epoch, each k-th epoch etc.
self.model.save("model_{}.hd5".format(epoch))
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