deep-learning
LSTM gating
taught
Taught in
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The LSTM cell, gate by gate
Deep Learning / Neural Networks
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Sequence applications: two architectures, one task
Deep Learning / Neural Networks
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From recurrence to attention
Wiring Language Models
Requires
- recurrent-hidden-state required
- vanishing-exploding-gradients required
Required by
- GRU required
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.