add Keras/klab-13-3-mnist_save_restore.py about deeplearningzerotoall HOT 3 CLOSED

Looks good.
But in Keras, it's preferred to use full model save/load instead of saving/loading weights.

• Full model save/load for regular jobs
• Weight save/load is specifically designed for transfer learning.

The reason for this preference is that

1. we don't have to define a model architecture when we use a full model load.
2. model epoch is taken care of automatically. For advanced optimizers like Adam, RMSProp, it's important to keep the number of steps.

So, I think it's a good idea to write a few comments about each method.

from keras.models import load_model

#save
model.save(filepath) # instead of model.save_weights()

#load
model = load_model(filepath) # instead of model.load_weights()

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in Keras, simple is best.
you're suggestion is good.
i will look you're suggestion.

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