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albermax / innvestigate

A toolbox to iNNvestigate neural networks' predictions!
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iNNvestigate 2.0: LRP-Network-Canonization Module #205

Open leanderweber opened 4 years ago

leanderweber commented 4 years ago

Special Model Types to Consider

Mixed Ideas

miriamelia commented 1 year ago

I get NotImplementedError:

LRP is only tested for convolutional neural networks. Check triggered by layers: [<keras.layers.core.tf_op_layer.TFOpLambda object at 0x2c36c0370>, <keras.layers.core.tf_op_layer.TFOpLambda object at 0x2c3879eb0>, <keras.layers.core.tf_op_layer.TFOpLambda object at 0x2c388da30>, <keras.layers.core.tf_op_layer.TFOpLambda object at 0x2c36c0310>, <keras.layers.wrappers.Bidirectional object at 0x2c38a69d0>, <keras.layers.wrappers.Bidirectional object at 0x2c38ce4f0>]

even though I have version 2.0.1:

conda list innvestigate 2.0.1 pypi_0 pypi

... so lrp is not implemented for lstms?

adrhill commented 1 year ago

Yes, iNNvestigate doesn't support LSTM layers.

miriamelia commented 1 year ago

okay :) found this implementation, maybe one day it could be implemented in your framework https://github.com/ArrasL/LRP_for_LSTM