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Merge pull request #661 from jfsantos/patch-3

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Updated documentation of Merge layer
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François Chollet 2015-09-08 08:42:38 -07:00
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docs/sources/layers/core.md
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@ -329,11 +329,11 @@ model.add(RepeatVector(2)) # output shape: (nb_samples, 2, 10)
keras.layers.core.Merge(models, mode='sum')
```
Merge the output of a list of layers (or containers) into a single tensor, following one of two modes: `sum` or `concat`.
Merge the output of a list of layers (or containers) into a single tensor, following one of three modes: `sum`, `mul` or `concat`.
- __Arguments__:
- __layers__: List of layers or [containers](/layers/containers/).
- __mode__: String, one of `{'sum', 'concat'}`. `sum` will simply sum the outputs of the layers (therefore all layers should have an output with the same shape). `concat` will concatenate the outputs along the last dimension (therefore all layers should have an output that only differ along the last dimension).
- __mode__: String, one of `{'sum', 'mul', 'concat'}`. `sum` and `mul` will simply sum/multiply the outputs of the layers (therefore all layers should have an output with the same shape). `concat` will concatenate the outputs along the last dimension (therefore all layers should have an output that only differ along the last dimension).
- __Example__: