Dive into Deep Learning
Aston Zhang · Zachary C. Lipton · Mu Li · Alexander J. Smola
- 2023
- Q325.5 .Z43
- 1151 pages
- CC BY-SA 4.0
Q325.5 .Z43
Dive into Deep Learning
Aston Zhang · Zachary C. Lipton · Mu Li · Alexander J. Smola
2023
About this book
Dive into Deep Learning was written by Aston Zhang, Zachary C. Lipton, Mu Li and Alexander J. Smola. This edition dates from 2023, and runs to about 1151 pages.
It is shelved at Q325.5 .Z43, which is where a library would file it.
What it covers
- Every model implemented from scratch and again with a framework.
- Linear models, MLPs, CNNs and modern architectures.
- Attention and transformers, built up step by step.
- Optimisation, computational performance and deployment.
Colophon
- Licence
- CC BY-SA 4.0
- Read it at
- d2l.ai ↗
- On this site
- This licence allows a copy to be served here, with attribution.
Read it at d2l.ai ↗
Openly licensed, so the full text can be served here.
Next on this shelf
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