Part IV: Deep Learning for Sensor Time Series
Chapter 14  [C]

Recurrent and Temporal Convolutional Models

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Sections

  1. 14.1 RNNs, GRUs, LSTMs
  2. 14.2 Temporal convolutional networks
  3. 14.3 Dilations and receptive fields
  4. 14.4 Sequence-to-label and sequence-to-sequence
  5. 14.5 Streaming/stateful inference
  6. 14.6 Irregular and asynchronous sampling
  7. 14.7 Practical training recipes

Lab 14

compare LSTM and TCN on a multivariate sensor task, including a streaming variant.