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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.

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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, …
Emil's user avatar
  • 179
1 vote
1 answer
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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 …
Emil's user avatar
  • 179