Further reading
For more information on the following topics, refer to the suggested resources and links:
- Automated ML: Methods, Systems, Challenges: Frank Hutter (Editor), Lars Kotthoff (Editor), and Joaquin Vanschoren (Editor). The Springer Series on Challenges in ML
- Hands-On Automated ML: A Beginner's Guide to Building Automated ML Systems Using AutoML and Python, by Sibanjan Das and Umit Mert Cakmak, Packt
- Neural Architecture Search with Reinforcement Learning: https://arxiv.org/pdf/1611.01578.pdf
- Learning Transferable Architectures for Scalable Image Recognition: https://arxiv.org/pdf/1707.07012.pdf
- Progressive Neural Architecture Search: https://arxiv.org/pdf/1712.00559.pdf
- Efficient Neural Architecture Search via Parameter Sharing: https://arxiv.org/pdf/1802.03268.pdf
- Efficient Architecture Search by Network Transformation: https://arxiv.org/pdf/1707.04873.pdf
- Network Morphism: https://arxiv.org/pdf/1603.01670.pdf
- Efficient Multi...
