问题
from keras.models import Sequential
from keras.layers.embeddings import Embedding
from theano import function
model = Sequential()
model.add(Embedding(max_features, 128, input_length = maxlen))
I want to get the outputs from the embedding layers. I read through the source in keras but didnt find any suitable function or attribute. Anyone can help me with this?
回答1:
You can get the output of any layer, not just an embedding layer, as described here:
from keras import backend as K
get_3rd_layer_output = K.function([model.layers[0].input],
[model.layers[3].output])
layer_output = get_3rd_layer_output([X])[0]
In your case, you would want model.layers[0].output
instead of model.layers[3].output
.
来源:https://stackoverflow.com/questions/36963012/how-to-get-the-outputs-from-the-embedding-layer