Works
Learning Representations by Back-Propagating Errors
ImageNet Classification with Deep Convolutional Neural Networks
Other pathways using this work
How do neural networks learn representations?
Trace gradient-based learning through the backpropagation argument and the selected image-classification paper.
This is not an author-endorsed syllabus. The reconstruction highlights selected works and may omit other commitments.