Deeplift with Cifar10 about deeplift HOT 3 OPEN

On Tue, 9 Aug 2022 at 14:47, Nico ***@***.***> wrote: I Have the same problem.. Also trying to apply deeplift on a model which was trained with the cifar10 dataset. I use this model: Model: "sequential" ------------------------------ Layer (type) Output Shape Param # conv2d (Conv2D) (None, 32, 32, 32) 896 conv2d_1 (Conv2D) (None, 32, 32, 32) 9248 max_pooling2d (MaxPooling2D (None, 16, 16, 32) 0 ) dropout (Dropout) (None, 16, 16, 32) 0 conv2d_2 (Conv2D) (None, 16, 16, 64) 18496 conv2d_3 (Conv2D) (None, 16, 16, 64) 36928 max_pooling2d_1 (MaxPooling (None, 8, 8, 64) 0 2D) dropout_1 (Dropout) (None, 8, 8, 64) 0 conv2d_4 (Conv2D) (None, 8, 8, 128) 73856 conv2d_5 (Conv2D) (None, 8, 8, 128) 147584 max_pooling2d_2 (MaxPooling (None, 4, 4, 128) 0 2D) dropout_2 (Dropout) (None, 4, 4, 128) 0 flatten (Flatten) (None, 2048) 0 dense (Dense) (None, 128) 262272 dropout_3 (Dropout) (None, 128) 0 dense_1 (Dense) (None, 6) 774 ================================================================= Total params: 550,054 Trainable params: 550,054 Non-trainable params: 0 ------------------------------ The code for the DeepLIFT implementation is from the MNIST-example: <https://github.com/kundajelab/deeplift/blob/master/examples/mnist/MNIST_replicate_figures.ipynb> Code: import deeplift from deeplift.layers import NonlinearMxtsMode from deeplift.conversion import kerasapi_conversion as kc deeplift_model =\ kc.convert_model_from_saved_files( h5_file='model4cifar10.h5', nonlinear_mxts_mode=deeplift.layers.NonlinearMxtsMode.DeepLIFT_GenomicsDefault) And I get the exact same errormessage. — Reply to this email directly, view it on GitHub <#124 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AARSFBXRHB7K6SGAMGSVRD3VYIOY3ANCNFSM5EZGAX6A> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>