Deep Learning Architectures

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MAD Insight

CI/CD principles address the black-box interpretability problem in deep learning

“You care about it because it adds reliability, reproducibility, determinism. You know, your systems are no longer inscrutable, which is a very big criticism, especially of deep learning architectures, which is that they're black box or they're, you know, they …”

Dillon Erb Feb 25, 2019 ▶ 6:43 CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)

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Deep Learning Architectures

1 statements about Deep Learning Architectures, every show

Turn any episode into a week of clips.