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Dive Into Deep Learning Alexander J. Smola-Zachary C. Lipton-Mu Li-Aston Z
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Dive Into Deep Learning
Alexander J. Smola-Zachary C. Lipton-Mu Li-Aston Z
This approachable text teaches all the concepts, the context, and the code needed to understand deep learning. Suitable for students and professionals, the book doesn't require any previous background in machine learning or deep learning. Interactive examples feature throughout, with runnable code and executable Jupyter notebooks available online.
574 pages, Worked examples or Exercises
| Media | Books Book |
| Released | December 7, 2023 |
| ISBN13 | 9781009389433 |
| Publishers | Cambridge University Press |
| Pages | 574 |
| Dimensions | 254 × 202 × 26 mm · 1.37 kg |
| Language | English |
