Artificial Intelligence Research Papers: Deep Learning Pioneers

Our research team has been working tirelessly to make AI more human-like, but honestly, we're not there yet.

Here are some of our favorite papers that showcase the best (and worst) of Deep Learning:

• LeCun et al. (1998) - A Theoretical Framework for the Study of Deep Learning
• Hinton et al. (2006) - A Neural Network for Machine Learning and Other Things We're Not Sure About
• Goodfellow et al. (2014) - Deep Learning: A Game of Cat and Mouse (or is it Dog?)
• Reed et al. (2015) - A Neural Network for Neural Networks (because we're all a bit confused)

Want more? Check out all our research papers in one place