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Added Convolution3D as a layer supporting the regularizers and constraints API. (#4673)

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Daniel Angelov 2016-12-10 18:15:38 +00:00 committed by François Chollet
parent 4871208f02
commit 4c1353c188
2 changed files with 2 additions and 2 deletions
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2
docs/templates/constraints.md vendored
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Functions from the `constraints` module allow setting constraints (eg. non-negativity) on network parameters during optimization.
The penalties are applied on a per-layer basis. The exact API will depend on the layer, but the layers `Dense`, `TimeDistributedDense`, `MaxoutDense`, `Convolution1D` and `Convolution2D` have a unified API.
The penalties are applied on a per-layer basis. The exact API will depend on the layer, but the layers `Dense`, `TimeDistributedDense`, `MaxoutDense`, `Convolution1D`, `Convolution2D` and `Convolution3D` have a unified API.
These layers expose 2 keyword arguments:

2
docs/templates/regularizers.md vendored
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Regularizers allow to apply penalties on layer parameters or layer activity during optimization. These penalties are incorporated in the loss function that the network optimizes.
The penalties are applied on a per-layer basis. The exact API will depend on the layer, but the layers `Dense`, `TimeDistributedDense`, `MaxoutDense`, `Convolution1D` and `Convolution2D` have a unified API.
The penalties are applied on a per-layer basis. The exact API will depend on the layer, but the layers `Dense`, `TimeDistributedDense`, `MaxoutDense`, `Convolution1D`, `Convolution2D` and `Convolution3D` have a unified API.
These layers expose 3 keyword arguments: