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lines changed Original file line number Diff line number Diff line change 363363 " # Define the checkpoint directory to store the checkpoints.\n " ,
364364 " checkpoint_dir = './training_checkpoints'\n " ,
365365 " # Define the name of the checkpoint files.\n " ,
366- " checkpoint_prefix = os.path.join(checkpoint_dir, \" ckpt_{epoch} \" )"
366+ " checkpoint_prefix = os.path.join(checkpoint_dir, \" ckpt_{epoch:04d}.weights.h5 \" )"
367367 ]
368368 },
369369 {
396396 " # Define a callback for printing the learning rate at the end of each epoch.\n " ,
397397 " class PrintLR(tf.keras.callbacks.Callback):\n " ,
398398 " def on_epoch_end(self, epoch, logs=None):\n " ,
399- " print('\\ nLearning rate for epoch {} is {}'.format( epoch + 1, model.optimizer.lr .numpy()))"
399+ " print('\\ nLearning rate for epoch {} is {}'.format(epoch + 1, model.optimizer.learning_rate .numpy()))"
400400 ]
401401 },
402402 {
486486 },
487487 "outputs" : [],
488488 "source" : [
489- " model.load_weights(tf.train.latest_checkpoint(checkpoint_dir))\n " ,
489+ " import pathlib\n " ,
490+ " latest_checkpoint = sorted(pathlib.Path(checkpoint_dir).glob('*'))[-1]\n " ,
491+ " \n " ,
492+ " model.load_weights(latest_checkpoint)\n " ,
490493 " \n " ,
491494 " eval_loss, eval_acc = model.evaluate(eval_dataset)\n " ,
492495 " \n " ,
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