ASRC AIMS 7:00 – 4:00, PhD ML, 4:30 –

• More embedding.
  • ConceptVector: Text Visual Analytics via Interactive Lexicon Building using Word Embedding
  • Make sure that there is a vector for the words in the posts. Nope!
    Gensim wants sentences as arrays of words. I was giving it the whole sentence string. Now things look much better. And there is an oddly linear artifact:
  • Build a word vector average for each post
    • Weighted by word frequency or normalized
    • Return angle between vectors
    • Build post x post matrix
• Possible venue for the AI paper? 2019 IEEE International Symposium on Technologies for Homeland Security
• JAX autodiff cookbook (Colab intro) (all colab publications)
• Shimei’s group
  • TF Dev conference updates and links
    • TF 2.0  (Blog) (Keras tweet course)
    • TF probability blog post (Video)
    • Swift and why it matters
    • TF Hub
    • Coral
    • TF Mesh snippet (Lincoln 1)(Lincoln 2)
    • TensorFlow (2.0) Serving with Docker — an end-to-end example!