Body: <p>Recommend some calculus books for Deep Learning and neural networks. I know what is integration, differentiation, derivates, limits on a based level. I would like to understand on deep level the calculus behind Deep Learning and neural networks.</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-03-28T07:17:56.867Z
Comments.Text: Quite a broad question, but I think we should have some sort of community wiki to handle such queries. But check out Ian Goodfellow's book on the same. It is a must read.
Comments.UserDisplayName: Anshuman Kumar
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-04-02T18:36:42.897Z
Comments.Text: The first chapters of ["Deep learning", by Goodfellow, Bengio and Courville](https://www.deeplearningbook.org/), focuses on math, mostly linear algebra and calculus.
Comments.UserDisplayName: Stef
Tags: <neural-networks><deep-learning><math><books><calculus>
Title: Best calculus books for Deep Learning
UserDisplayName: Dan Il
ThreadText: # Best calculus books for Deep Learning
  
  (Asked by: username_0 on 2023-03-27)
  
  Recommend some calculus books for Deep Learning and neural networks. I know what is integration, differentiation, derivates, limits on a based level. I would like to understand on deep level the calculus behind Deep Learning and neural networks.
  
  **Tags:** neural-networks, deep-learning, math, books, calculus
  
  > **Comments:**
  > **username_1**: Quite a broad question, but I think we should have some sort of community wiki to handle such queries. But check out Ian Goodfellow's book on the same. It is a must read.  
  > **username_2**: The first chapters of ["Deep learning", by Goodfellow, Bengio and Courville](https://www.deeplearningbook.org/), focuses on math, mostly linear algebra and calculus.  
  
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  ## 0 answers
  
  