7:00 – 2:30 ASRC PhD (feeling burned out – went home early for a nap)

• Continuing with my 810 assignment. Just found out about finite semiotics, which could be useful for trustworthiness detection (variance in terms and speed of adoption)
• I like this! Creating a Perceptron From Scratch
  • In order to gain more insight as to how Neural Networks (NNs) are created and used, we must first understand how they work. It is important to always create a solid foundation as to why you are doing something, instead of navigating blindly. With the ubiquity of Tensorflow or Keras, sometimes it is easy to forget what you are actually building and how to best develop your NN. For this project I will be using Python to create a simple Perceptron that will implement the basics of Back-Propagation to Optimize our Synapse Weighting. I’ll be sure to explain everything along the way and always encourage you to reach out if you have any questions! I will assume no prior knowledge in NNs, but you will instead need to know some fundamentals of Python programming, low-level calculus, and a bit of linear algebra. If you aren’t quite sure what a NN is and how they are used in the field of AI, I encourage you to first read my article covering that topic before tackling this project. So let’s get to it!
• And this is very interesting:
  • SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model. SHAP connects game theory with local explanations, uniting several previous methods [1-7] and representing the only possible consistent and locally accurate additive feature attribution method based on expectations (see the SHAP NIPS paper for details).
• Ok, back to generators. Here are several versions of Call of the Wild
  • Tokens

    index, token
    0, quivering
    1, scraped
    2, introspective
    3, confines
    4, restlessness
    5, pug
    6, mandate
    7, twisted
    8, part
    9, error
    10, thong
    11, resolved
    12, daunted
    13, spray
    14, trees
    15, caught
    16, fearlessly
    17, quite
    18, soft
    19, sounds
    20, slaying

  • Text sequences

    #confg: {"sequence_length":10, "step":1, "type":"words"}
    buck, did, not, read, the, newspapers, or, he, would, have
    did, not, read, the, newspapers, or, he, would, have, known
    not, read, the, newspapers, or, he, would, have, known, that
    read, the, newspapers, or, he, would, have, known, that, trouble
    the, newspapers, or, he, would, have, known, that, trouble, was
    newspapers, or, he, would, have, known, that, trouble, was, brewing
    or, he, would, have, known, that, trouble, was, brewing, not
    he, would, have, known, that, trouble, was, brewing, not, alone
    would, have, known, that, trouble, was, brewing, not, alone, for
    have, known, that, trouble, was, brewing, not, alone, for, himself
    known, that, trouble, was, brewing, not, alone, for, himself, but
    that, trouble, was, brewing, not, alone, for, himself, but, for
    trouble, was, brewing, not, alone, for, himself, but, for, every
    was, brewing, not, alone, for, himself, but, for, every, tidewater
    brewing, not, alone, for, himself, but, for, every, tidewater, dog
    not, alone, for, himself, but, for, every, tidewater, dog, strong
    alone, for, himself, but, for, every, tidewater, dog, strong, of
    for, himself, but, for, every, tidewater, dog, strong, of, muscle
    himself, but, for, every, tidewater, dog, strong, of, muscle, and

     

  • Index sequences

    #confg: {"sequence_length":10, "step":1, "type":"integer"}
    4686, 1720, 283, 1432, 1828, 1112, 4859, 3409, 3396, 379
    1720, 283, 1432, 1828, 1112, 4859, 3409, 3396, 379, 4004
    283, 1432, 1828, 1112, 4859, 3409, 3396, 379, 4004, 3954
    1432, 1828, 1112, 4859, 3409, 3396, 379, 4004, 3954, 4572
    1828, 1112, 4859, 3409, 3396, 379, 4004, 3954, 4572, 4083
    1112, 4859, 3409, 3396, 379, 4004, 3954, 4572, 4083, 3287
    4859, 3409, 3396, 379, 4004, 3954, 4572, 4083, 3287, 283
    3409, 3396, 379, 4004, 3954, 4572, 4083, 3287, 283, 1808
    3396, 379, 4004, 3954, 4572, 4083, 3287, 283, 1808, 975
    379, 4004, 3954, 4572, 4083, 3287, 283, 1808, 975, 532
    4004, 3954, 4572, 4083, 3287, 283, 1808, 975, 532, 973
    3954, 4572, 4083, 3287, 283, 1808, 975, 532, 973, 975
    4572, 4083, 3287, 283, 1808, 975, 532, 973, 975, 4678
    4083, 3287, 283, 1808, 975, 532, 973, 975, 4678, 3017
    3287, 283, 1808, 975, 532, 973, 975, 4678, 3017, 2108
    283, 1808, 975, 532, 973, 975, 4678, 3017, 2108, 984
    1808, 975, 532, 973, 975, 4678, 3017, 2108, 984, 1868
    975, 532, 973, 975, 4678, 3017, 2108, 984, 1868, 3407