Task List:

  • finish chapter 10 in Deep Learning Book
  • read text analysis paper

Challenges:

Chapter 10 was probably the hardest for me to read. The sequential RNN made sense to me conceptually, but the equations and the diagrams confused me when I tried to understand how they are implemented in greater detail. I had to re-read some parts a few times; LSTM is the other key part to the experiments I would be conducting on the sarcasm dataset. It should help me to understand how the meaning of the sentence is affected by the context of the words surrounding each word.

Resources used this week:

  • Deep Learning text
  • text analysis paper from Professor Verma’s page

Next Steps:

  • finish final milestone requirements
  • customize website
  • schedule meeting after report to review Chapter 10
  • prepare for experiment after finishing final milestone

Updated:

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Week 10

Task List: plan out paper and citations redesign website upload remaining journal entries

Week 8

Task List: read chapter 9 in deep learning book study cifar10 and CNN interactive examples

Week 7

Task List: read chapter 7-8 look up tensorflow playground for LSTM study CNN and LSTM

Week 6

Task List: complete chapters 5-6 in deep learning book send link to google doc with questions and send email send copy of progress report