Notes on AI
I think knowing the basics is the most important, so here we go. This is just meant to be some of my notes that help me understand what I am reading.
- Warren McCulloch & Walter Pitts, "A Logical Calculus of the Ideas Immanent in Nervous Activity" (1943)
- Alan Turing, "Computing Machinery and Intelligence" (1950)
- John McCarthy, Marvin Minsky, Nathan Rochester & Claude Shannon, "A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence" (1955/56)
- Frank Rosenblatt, "The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain" (1958)
- David Rumelhart, Geoffrey Hinton & Ronald Williams, "Learning Representations by Back-Propagating Errors" (1986)
- Sepp Hochreiter & Jürgen Schmidhuber, "Long Short-Term Memory" (1997)
- Alex Krizhevsky, Ilya Sutskever & Geoffrey Hinton, "ImageNet Classification with Deep Convolutional Neural Networks" (2012)
- Ian Goodfellow et al., "Generative Adversarial Nets" (2014)
- David Silver et al., "Mastering the Game of Go with Deep Neural Networks and Tree Search" (2016)
- Ashish Vaswani et al., "Attention Is All You Need" (2017)