sauravtii

Sure, I will read that. Thank you for your help! If possible, can you please tell me why the accuracy improved after using average pooling and why it wasn't improving...

Thanks @rbodo. @ej159 Can you please provide me a solution ?

Hi, I did try running it on HBP JuyterLab interface and got the same error that I raised an issue for ([error](https://github.com/NeuromorphicProcessorProject/snn_toolbox/issues/125)).

Just wanted to follow up @ej159

Just wanted to follow up

Can you please solve this, it is very urgent for me as I am working on a project that has a deadline.

Thanks for your response @rbodo. Is it possible to get the power/energy metrics for INI using snntoolbox or by any other way ? Also, can you please tell me how...

Do you mean SNN in "just a DNN running on GPU" ? Because this code (https://github.com/NeuromorphicProcessorProject/snn_toolbox/blob/master/examples/mnist_keras_INI.py) basically converts the CNN to SNN and then simulates the converted **SNN**, right ?...

Okay, thank you so much for your help!

Actually my question is, is it possible to save the QML model in the above mentioned MNIST tutorial ?