Tensorflow 2 Model Saving and Restoring

# Introduction An entire process of deep learning consists of four steps: model training, model evaluation, model saving and model deployment. In fact, all the contents we have mentioned before are focused on the first two steps. In this lab course, we will learn how to save and restore model in TensorFlow 2.

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Click the virtual machine below to start practicing