The training of neural networks can be a time-consuming process, so we need to track its progress as the process goes on. We need to learn to save and reload a trained model.
Every MXNet model consist of at least two files:
- model_name-symbol.json: Describes the architecture
- model_name-epoch.params: Describes the model weights
You can create them yourself or you can download them from the internet. We will cover the process of using pretrained networks in the next chapter.
