Here is a curated list of some of the most influential papers in the field of deep learning. These papers have laid the foundation for many of the advancements in the field and are essential reading for anyone interested in deep learning.
- Deep Learning Papers
- A Few Useful Things to Know about Machine Learning - A comprehensive overview of machine learning principles and practices.
- ImageNet Classification with Deep Convolutional Neural Networks - Introduces the concept of deep convolutional neural networks for image classification.
- Sequence to Sequence Learning with Neural Networks - Proposes a new architecture for learning to map sequences to sequences, which is fundamental for tasks like machine translation.
Deep Learning Neural Network
Further Reading
- For more in-depth information, you can explore our Deep Learning Resources section.
Community Contributions
- If you have any interesting deep learning papers you'd like to share, please contribute them to our Community Papers.
Deep Learning Community