Further reading
The following are a few resources you should consider for further reading:
- Pedro Domingos. A few useful things to know about machine learning. Communications of the ACM 55, no. 10 (2012): 78-87.
- Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. Attention is all you need. Advances in neural information processing systems 30 (2017).
- Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial networks. Communications of the ACM 63, no. 11 (2020): 139-144.
- Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, and Maosong Sun. Graph neural networks: A review of methods and applications. AI open 1 (2020): 57-81.
- Mensah Kwabena Patrick, Adebayo Felix Adekoya, Ayidzoe Abra Mighty, and Baagyire Y. Edward. Capsule networks–a...
