[GitHub] thomelane commented on a change in pull request #11002: [MXNET-433] Tutorial on saving and loading gluon models

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thomelane commented on a change in pull request #11002: [MXNET-433] Tutorial on saving and loading gluon models
URL: https://github.com/apache/incubator-mxnet/pull/11002#discussion_r191269279
 
 

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 File path: docs/tutorials/gluon/save_load_params.md
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+# Saving and Loading Gluon Models
+
+Training large models take a lot of time and it is a good idea to save the trained models to files to avoid training them again and again. There is a number of reasons to do this. For example, you might want to do inference on a machine that is different from the one where the model was trained. Sometimes model's performance on validation set decreases towards the end of the training because of overfitting. If you saved your model parameters after every epoch, at the end you can decide to use the model that performs best on the validation set.
+
+In this tutorials we will learn ways to save and load Gluon models. Let's start by importing the modules we'll need.
+
+```python
+import mxnet as mx
+import mxnet.ndarray as nd
+from mxnet import nd, autograd, gluon
+
+import numpy as np
+```
+
+## Build and train a simple model
 
 Review comment:
   Setup: build and train a simple model

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