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Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.
0
votes
I have a word2vec embedding - now what?
Before, I have implemented a downloaded embbeding using Keras' Embedding package:
from keras.layers import Embedding
embedding_layer = Embedding(
num_words,
EMBEDDING_DIM,
…
1
vote
1
answer
2k
views
What is the feedforward network in a transformer trained on?
After reading the 'Attention is all you need' article, I understand the general architecture of a transformer. However, it is unclear to me how the feed forward neural network learns.
What I learned …