keeping up in ai

Short posts on concepts and applications of machine learning

sampled backpropagation

November 30, 2016 — 08:40

training deep and wide neural networks
speech recognition

October 15, 2016 — 14:01

demystifying the connectionist temporal classification loss
batch normalization

June 7, 2016 — 08:09

explaining core batch normalization concepts
from modelzoo to keras

December 15, 2015 — 13:01

making models useful

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