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updated teaser, added dividers

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2021-04-11 20:17:03 +08:00
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@@ -8,6 +8,8 @@ achieved via DP approaches it is nonetheless a good time to discuss some
additional properties, and summarize the pros and cons.
![Divider](resources/divider4.jpg)
## Time Steps and Iterations
When using DP approaches for learning application, there is a large amount of flexibility
@@ -73,6 +75,8 @@ for training that tends to overfit, but if possible, it is preferable to incorpo
actual solver in the training loop via a DP approach.
![Divider](resources/divider5.jpg)
## Summary
To summarize the pros and cons of training NNs via DP: