Code 5

Due by 11:59 PM on Friday, June 12, 2020

In-class, deep-learning-with-r-notebooks

  • 6.2-understanding-recurrent-neural-networks.Rmd - IMDB, RNN

  • 6.3-advanced-usage-of-recurrent-neural-networks.Rmd - jena_climate temperature forecasting, baseline, regular RNN, LSTM, GRU, dropout, stacking layers, bidirectional RNN

  • 6.4-sequence-processing-with-convnets.Rmd - CNN for text processing, IMDB, comparison with regular LSTM/GRU

  • 8.1-text-generation-with-lstm.Rmd - Nietzsche text, LSTM text generation, the effect of temperature (section 8.1.3, p. 254). On GPU, each epoch takes ~5 min, demo possible

Technical issues

  • 8.2-deep-dream.Rmd - Deep dream
  • 8.3-neural-style-transfer.Rmd - neural style transfer
  • 8.4-generating-images-with-vaes.Rmd
  • 8.5-introduction-to-gans.Rmd

Self-study, dl-keras-tf

  • Review and run 08-NLP-LSTMs/01-intro-to-lstms.Rmd - IMDB, RNN, LSTM

Last updated on June 12, 2020

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