Neural Networks and Deep Learning

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Across
  1. 2. A type of RNN with memory cells to retain long-term dependencies.
  2. 3. Uses convolutional layers to detect spatial patterns.
  3. 5. Has loops allowing information to persist over time.
Down
  1. 1. Learns to compress and reconstruct data.
  2. 4. Information flows in one direction—from input to output.