This page is dedicated to exploring the latest and most influential papers in the field of neural networks, as discussed in our community forum. We encourage readers to contribute their insights and engage in discussions about these papers.
- Introduction to Neural Networks: For those who are just starting out in the field.
Top Papers
Here are some of the top papers discussed in our community forum:
"Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
- This comprehensive book is considered a cornerstone in the field of deep learning.
- Deep Learning Book
"AlexNet: Image Classification with Deep Convolutional Neural Networks"
- This paper introduced the concept of convolutional neural networks (CNNs) and was a significant breakthrough in image recognition.
- AlexNet
"Generative Adversarial Nets" by Ian Goodfellow et al.
- This paper introduced the concept of generative adversarial networks (GANs), which have had a profound impact on various fields, including computer vision and natural language processing.
- GANs
Community Discussions
Our community has been actively discussing these papers and more. Here are some highlights:
We invite you to join the conversation and share your thoughts on these fascinating papers.