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Remove momentum from Layers #26

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HuwCampbell opened this issue Feb 26, 2017 · 2 comments
Open

Remove momentum from Layers #26

HuwCampbell opened this issue Feb 26, 2017 · 2 comments

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@HuwCampbell
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HuwCampbell commented Feb 26, 2017 •
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  • Momentum shouldn't be stored in the layers any more. This will free us up to use a broader set of optimisation algorithms. We will however need to provide a class for fast updates and manipulations of learnable parameters.

  • Gradient associated type family shouldn't exist, we'll just return a Network with gradient weights.

  • randomNetwork shouldn't exist. Networks where all layers have a Random instance will also have a Random instance.
@HuwCampbell HuwCampbell changed the title Num & Floating instances for Network Remove momentum from Layers Mar 8, 2017
@claudeha
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Moreover, I noticed momentum is not serialized, which means saving/resuming training between sessions may be problematic.

@HuwCampbell
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Indeed.

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@HuwCampbell @claudeha