Tag: Machine Learning
Gradient Descent & Optimizers
October, 10 2023 • 13 min read • 2000 words
My notes over Machine Learning 2. Title covers all.
Language Modeling: Word Embedings & Architectures
October, 07 2023 • 14 min read • 2102 words
These are a few of my notes from Eunsol Choi's NLP class at UT Austin.
Neural Networks: RNNs, Seq2Seq, & CNNs
October, 07 2023 • 10 min read • 1591 words
These are a few of my notes from Eunsol Choi's NLP class at UT Austin.
Generative & Discriminative Models
October, 07 2023 • 8 min read • 1241 words
These are a few of my notes from Eunsol Choi's NLP class at UT Austin.