I suppose it is true that (western) musical harmony corresponds to a kind of ternary computing. The binary numbers correspond to octaves: powers of 2. The circle of fifths represents the presence or absence of a power of 3. Groupings of bits over these fifths create a combination of relative consonance and potential further resolution.
Monthly Archives: January 2019
without
So much of the question of computers is how to live without them. A solution always seems around the corner, until there’s another corner. At which point, one should perhaps play the violin or something. The feeling of programming and the (empty) feeling of social media are not so different. The usefulness of is not […]
World of pain
Well it turns out that the world of pain with matplotlib was caused by… uninstalled latex. Geez. It’s a 3.42 GB download. Or I could just delete this line: Much faster and lighter. But maybe not so pretty. The stepwise nature of the run() command in TensorFlow is a new thing for me, though I […]
One-hot
What is beautiful in the harmonic system is that one-hot encodings are so fundamentally non-arbitrary.
Still pickin’
…at tensorflow. Always the small things. Just in getting started. Even a matter such as showing up in the (linter and) documentation when it should be that is, parentheses instead of brackets — that can cost twenty minutes… of your life. I have squares for a most curious generative music notation. But what a mess, […]
Expectations
Today was for re-reading Great Expectations. So many subtle ironies. I hope a computer will never understand them.
on writing
How different is writing from code? How different the sensation of identifying in language, and the sensation of almost-identifying in code? I feel a bit of empty shame giving over the process of identification and remembering like this, to a digital object. I think we’re all wondering about this a bit. It isn’t clear. Where. […]
naturalizing
… and what should be natural, in starting, on a Tuesday morning? I must go to the bottom of things, it’s early. What is a file, how does VS Code place itself on the Terminal? Still a new environment for me, I feel myself questioning the decisions behind its organization, and not being able to […]
Skimming
After a period of highlighting and detail, I had to get an overview of the chapters beyond chapter 4 in “TensorFlow for Deep Learning.” Convolutional Neural Networks look most promising, in passing. Meanwhile, I have to start poring over the statistical examples in Chapter 4 (see below: ‘Impediments’), to make sure I’ve got clear visions […]
Impediments
Or what I have been doing all these years is approaching these impediments. There are three examples in chapter 3 of TensorFlow for Deep Learning. Only one seems to work: A patient debugging of linear_regression_tf.py shows that line 37 brings a world of pain. And the shortcode doesn’t work here… new WordPress. Fixing this will […]