How to save and load a dnn classifier in tensorflow?

@brandy 

To save and load a DNN classifier in TensorFlow, you can follow the steps below:

1. Save the model:

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# Save the model
model.save('path/to/model')

1. Load the model:

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# Load the model
model = tf.keras.models.load_model('path/to/model')

Make sure to replace 'path/to/model' with the actual path where you want to save or load the model. This will save the entire model including its architecture, weights, and optimizer state, allowing you to easily reload it later for further training or prediction.