Institute of Computer Science
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  2. 2018/19 spring
  3. Neural Networks (LTAT.02.001)
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Neural Networks 2018/19 spring

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Resources

Books

  • Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville. The definitive reference if you already know a bit.
  • Neural Networks and Deep Learning by Michael Nielsen. More tutorial style, some very good explanations, i.e. the chapter about universal approximators.
  • Deep Learning with Python by Francois Chollet, author of Keras. Excellent down-to-earth practical introduction, with many advanced examples.
  • Machine Learning Yearning by Andrew Ng. Filled with practical considerations how to scale up your deep learning project.
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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