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Results tagged with recurrent-neural-networks
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user 37178
For questions related to recurrent neural networks (RNNs), artificial neural networks that contain backward or self-connections, as opposed to just having forward connections, like in a feed-forward neural network. An RNN can be trained using back-propagation through time, such that these backward connections "memorize" previously seen inputs. Consequentially, RNNs are well suited to sequence prediction and similar tasks.
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How is dropout applied to the embedding layer's output?
model = tf.keras.Sequential([
tf.keras.layers.Embedding(1000, 16, input_length=20),
tf.keras.layers.Dropout(0.2), # <- How does the dropout work?
tf.keras.layers …
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