Absolutely. The worst part is that ML being probabilistic means the models still output something comprehensible meaning you can't determine if it's correct or not without a lot of scrutiny and engineering.
Solo-development on a project of this scale has taught me a lot about prioritising where I spend my time and in what order I roll out application code as well as how to ensure I lean in to write once run everywhere design around libraries and component design.
What I know is she's a physics crackpot. I know this because it's my field of expertise so I can judge first hand. Therefore I give her no credibility in those other areas in which I'm not an expert. I cant know if that's the case, but I could imagine the person above who wrote "thanks, skipping" to be in the same position.
Wasn't it an LSTM neuron that changed sign and magnitude over a stretch of text? I remember seeing color coding against the current sentiment which was neat.
reply