Benjamin Bossan

In general, `plot_conv_activity` plots exactly one image per channel/filter. The input layer has exactly 3 color channels, which you may plot as a colored image -- but this would just...

It is definitely possible, though not out of the box. Have a look at the `objective` function in `nolearn.lasagne.base`. It is responsible for determining the loss. There you may specify...

My first guess would be that the data you validate on is not the same as the internal validation data, is that possible? If so, I would try to check...

Could you post a minimal code example that reproduces the error? From your description, it is not quite clear to me what you did. Thank you.

The error is that you try to access the network's layers by using brackets, which does not work: `cnn['conv1']`. Instead, the layers are saved in the `layers_` attribute. This could...

initialize the net first: `cnn.initialize()`.

(yeah I can squash the commits next time.) I would say that matching by names could be an additional option. The advantage here is that all is done automatically. If...

Okay, I misunderstood what you meant, I thought the user would have to spell out which layers to match with which. Anyways, your approach would work fine as long as...

Well my implementation is ready to go and yours is not, so if life is too short, go ahead and merge ;) Seriously, my proposal is that you give it...

You are right, bmilde, I did not think about academic applications. My favourite solution would be to have 'load_params_from' accept an argument that determines how to merge: 'auto' (my solution),...