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Lab 3: RNNs

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Notes

  • 00:00 - Introduction.
  • 01:59 - Introduce LineCNNSimple, a model that can read multiple characters in an image.
  • 15:52 - Make this model more efficient with LineCNN, which uses a fully convolutional network.
  • 18:18 - Upgrade the model further into LitModelCTC, which uses a CTC (Connectionist Temporal Classification) loss.
  • 23:29 - Finalize your model, LineCNNLSTM, by adding an LSTM layer on top of CNN.
  • 27:34 - Lab 3 homework.