Graduation today starting at 10:00!

D20

• Looks like ASRC actually wanted us to build a completely different marketing app that would be done by 3 people in 3-4 Fridays. So no sponsorship there

GPT2 Agents

• Adding promotion – done. I have to say that I’m pretty pleased with how the parser handles it. We go from:

  62. a8=Q+ Kg1 63. Qa7 Kg2

  To:

  [62] expanded: 
  	white: F Caruana moves white pawn from a7 to a8. White pawn is promoted to white queen. Check.
  	black: Ding Liren moves black king from g2 to g1.
  
  [63] expanded: 
  	white: F Caruana moves white queen from a8 to a7.
  	black: Ding Liren moves black king from g1 to g2.

   

• Had a bit of trouble figuring out how to deal with the end of a file with a potentially incomplete game.
• Everything works!
• Now I need to write games out to files, do something with the introductions, etc.
• Also add some variability in the language later
• Also need to handle queenside castling (O-O-O)

GOES

• See how the 20,000 epoch run went, and start on Wasserstein Loss
• The 20,000 epoch really wasn’t any better. rerunning the 10k and saving the model

• The 10k version seems to be wider and fits better in the bounds. Looking at the two charts, it looks like following the loss/accuracy of the fake data make be best in this case:

• Reading the GAN chapter in Advanced Deep Learning with Keras (github)
  • Adding a plot of plots to show the appearance of the generator over the epochs. It should help in understanding the evolution of the generator
  • Bless StackOverflow

    side = 4
    fig = plt.figure(1)
    axs = fig.subplots(side, side)
    fig.set_figheight(15)
    fig.set_figwidth(15)
    for i in range(side*side):
        X = gen_data()
        plot_grid(axs, X.T, i, side=side)
    
    fig = plt.figure(2)
    plt.plot([1,2,3,4,3,2,1,2,3], label = "GREEN", color="green")
    plt.plot([1, 2, 3, 4, 5, 6, 7, 8, 9], label = "RED", color="red")
    plt.legend(loc="upper left")
    plt.show()

• 2:00 Meeting
  • Write up a code walkthrough proposal and send to Erik
  • set up 10:00 meeting with Vadim for tomorrow
• 3:00 Log file meeting (T & Isaac)
  • Demo’d LMN and RB

#COVID

• Good discussion about data and paper writing
• Tried to see if the annotated twitter data is in the DB. Some is, some is not
• Tried to get the transformers translate example running again, including downloading the files explicitly. Still didn’t work. Submitted a ticket