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Training the Same Neural Network with Different Optimizers

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calendar_today • schedule1 min read

I've trained the same neural network by changing only the optimizers and got some really interesting results.

Same Model, Same Data, Varying Optimizers: What Actually Changes?

Check it out in my latest blog below:

https://medium.com/p/498c4a37748c

2 Comments

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Always interesting how much the optimizer alone can change behavior, even with everything else fixed. Nice experiment by Gradient Thoughts. When did the differences start showing up most clearly during training?

1 vote
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@[Andrew Mewborn] Thank you for your views !

Predominant changes started showing up as I moved towards more dynamic and adaptive optimizers like Adam and RMSProp. Again this is subject to the conditions and constraints that I have imposed on the neural net. Varying other parameters may result in totally different behaviour in the convergence plots.

The primary focus of this experiment is to observe optimizer behaviour under tightly controlled conditions.

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