Resources

Table of Contents

• Resources
  • Internal References
    • Deep Learning
  • External References
    • Spinning Up Open AI
    • Math Behind Machine Learning
    • Deep Learning
    • TensorFlow
    • PyTorch

Internal References

Deep Learning

1. A Logical Calculus of Ideas Immanent in Nervous Activity - McCulloh And Pitts - 1943

External References

Spinning Up Open AI

Math Behind Machine Learning

1. Linear Algebra Done Right by Sheldon Axler The Author also provides a abridged version for quick reference. It can be found here.
   1. A PDF version of this book has been provided online by Yikun Zhang on his
      1. Course website (Matrix Analysis and its Applications - Spring 2018)
      2. Github
         1. Web Link
         2. Repository Link
            1. File Link
2. Probability: For the Enthusiastic Beginner
   1. Amazon Link
3. Multivariate Calculus by Denis Auroux (from MIT OpenCourseWare)
4. Grokking Deep Learning by Andrew Trask
5. Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Deep Learning

1. Alfredo Canziani - Deep Learning (with PyTorch) [Website]

TensorFlow

PyTorch