This is a repo for maintaining and adding things which I can work on and study along the way on the path to deep learning
Fast.ai Lessons
- CNN Architecture RestNext Paper - Aggregated Residual Transformations for Deep Neural Networks- https://arxiv.org/pdf/1611.05431.pdf
- Varying Learning Rates and averaging Paper - Snapshot Ensembles - https://arxiv.org/pdf/1704.00109.pdf
- Deconvolution Paper - Visualizing and Understanding Convolutional Networks - https://cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf
- CNN Architecture ResNet Paper - Deep Residual Learning for Image Recognition - https://arxiv.org/pdf/1512.03385.pdf
- AlexNet - https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf