<p>I can say &quot;<a href="https://en.wikipedia.org/wiki/Stability_(learning_theory)" rel="nofollow noreferrer">Stable Learning</a>&quot; of a supervised machine learner is as follows:</p>
<blockquote>
<p>A stable learning algorithm is one for which the prediction does not change much when the training data is modified slightly.</p>
</blockquote>
<p>You can follow <a href="https://en.wikipedia.org/wiki/Stability_(learning_theory)" rel="nofollow noreferrer">this link</a> to know more in details about how can we measure the stability in the context of computational learning theory.</p>

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2021-05-30T20:18:54.007Z
2021-05-30T20:18:54.007Z
OmG
<p>I have read it said that the &quot;stable training&quot; of a deep learning model is important. What is meant by &quot;stable training&quot; of a deep learning model?</p>

<deep-learning><training><deep-neural-networks><computational-learning-theory><stability>
What is meant by "stable training" of a deep learning model?
The Pointer
# What is meant by "stable training" of a deep learning model?

(Asked by: username_0 on 2021-05-30)

I have read it said that the "stable training" of a deep learning model is important. What is meant by "stable training" of a deep learning model?

**Tags:** deep-learning, training, deep-neural-networks, computational-learning-theory, stability


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## 1 answers

### Answer by username_1 on 2021-05-30. Score: 1 | Accepted answer

I can say "[Stable Learning](https://en.wikipedia.org/wiki/Stability_(learning_theory))" of a supervised machine learner is as follows:

> A stable learning algorithm is one for which the prediction does not change much when the training data is modified slightly.

You can follow [this link](https://en.wikipedia.org/wiki/Stability_(learning_theory)) to know more in details about how can we measure the stability in the context of computational learning theory.


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