Get output/activation of a network layer

[maet3608]

Example code for Keras:

@nut_function
def GetActivations(batch, model, layer, istrain=1):
from keras import backend as K

f = K.function([model.input, K.learning_phase()],
               [model.get_layer(layer).output])
return f([batch[0], istrain])

build_batch >> GetActivations(network.model) >> FlattenCol(0) >> Collect()

Having a network function for it would be nice, e.g.
build_batch >> network.activation('layername') >> Collect()

[maet3608]

Relevant lasagne function:
http://lasagne.readthedocs.io/en/latest/modules/layers/helper.html#lasagne.layers.get_output