Authors

Subscribe:.rss.atom.json.md

Publishes 1 feed

• Fundamentals of Deep Learning

  10 posts · theirs

Lately

• Section 7: Notebook - train vs validation sets (Fundamentals of Deep Learning)

  Fundamentals of Deep Learning · 2021-01-20

• Section 8: Notebook - binary classification (Fundamentals of Deep Learning)

  Fundamentals of Deep Learning · 2021-01-19

• Section 9: Notebook - k-class classification (Fundamentals of Deep Learning)

  Fundamentals of Deep Learning · 2021-01-19

• Section 10: Notebook - training with a GPU (Fundamentals of Deep Learning)

  Fundamentals of Deep Learning · 2021-01-19

• Section 11: Notebook - stochastic gradient descent (Fundamentals of Deep Learning)

  Fundamentals of Deep Learning · 2021-01-19

• Section 12: Notebook - PyTorch DataLoaders (Fundamentals of Deep Learning)

  Fundamentals of Deep Learning · 2021-01-19

• Section 6: Notebook - PyTorch regression (Fundamentals of Deep Learning)

  Fundamentals of Deep Learning · 2021-01-19

• Section 5: Notebook - Intro to regression (Fundamentals of Deep Learning)

  Fundamentals of Deep Learning · 2021-01-18

• Section 2: Deep learning regressors (Fundamentals of Deep Learning)

  Fundamentals of Deep Learning · 2021-01-18

• Section 4: Training deep learning models (Fundamentals of Deep Learning)

  Fundamentals of Deep Learning · 2021-01-18

Everything on this page was read from markup Professor Parr published — a rel="me" link, an h-card, or the feed’s own author element. Nothing was inferred from anywhere else. To correct or remove it, get in touch. Machine-readable: JSON