Michael Tross using autoencoders to learn the features of maize leaf hyperspectral reflectance data, GWAS to link those latent features to genes and MaizeGDB to link those genes to known phenotypes. Good job @tross_michael! #NAPPN22
Way to go Aime! Aime Nishimwe (@AimeValentin), an undergraduate, presents his lightning talk on predicting whole plant traits from leaf level hyperspectral reflectance data at #NAPPN22
“Life is one big mind game. The only person you are playing against is yourself” —Davig Goggins. They say, know the truth and it will set you free. #canthurtme#The40PercentRule#dontgetcomfortable
To those who feel like “THE ONLY”,
If someone is making you uncomfortable/scared, DO NOT LISTEN TO THEM. They are just pouring their inner insecurities at you. Instead let their insult and dismissive gesture become more fuel for the engine revving inside you #canthurtme
1. Personal accountability will always bring you self-respect, and self-respect will always light a way forward to your goals .
2. Self-improvement takes dedication and self-discipline. No workarounds.
#canthurtme@davidgoggins
Michael Tross @tross_michael presenting at MLCAS2021 on latent space phenotyping using autoencoders to process leaf reflectance data collected by @AimeValentin & @xiaoguanghuan