Linking pages
- Adapting computer vision models for time series and automated EEG review | by Tim Esler | Brain Waves | Medium https://medium.com/seer-medical/adapting-computer-vision-models-for-time-series-and-automated-eeg-review-66ff20c1bf9 0 comments
- Deep learning in MRI beyond segmentation: Medical image reconstruction, registration, and synthesis | AI Summer https://theaisummer.com/mri-beyond-segmentation/ 0 comments
- How Transformers work in deep learning and NLP: an intuitive introduction | AI Summer https://theaisummer.com/transformer/ 0 comments
- Recurrent neural networks: building a custom LSTM cell | AI Summer https://theaisummer.com/understanding-lstm/ 0 comments
- Self-supervised representation learning on videos | AI Summer https://theaisummer.com/self-supervised-learning-videos/ 0 comments
Linked pages
- GitHub - vdumoulin/conv_arithmetic: A technical report on convolution arithmetic in the context of deep learning https://github.com/vdumoulin/conv_arithmetic 6 comments
- Frame rate - Wikipedia http://en.wikipedia.org/wiki/Frame_rate#Visible_frame_rate 6 comments
- [1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
- [1512.00567] Rethinking the Inception Architecture for Computer Vision http://arxiv.org/abs/1512.00567 1 comment
- [1603.07285] A guide to convolution arithmetic for deep learning https://arxiv.org/abs/1603.07285 0 comments
- [1704.04861] MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications https://arxiv.org/abs/1704.04861 0 comments
- Intuitive Explanation of Skip Connections in Deep Learning | AI Summer https://theaisummer.com/skip-connections/ 0 comments
- Semantic Segmentation in the era of Neural Networks | AI Summer https://theaisummer.com/Semantic_Segmentation/ 0 comments
- Computing Receptive Fields of Convolutional Neural Networks https://distill.pub/2019/computing-receptive-fields 0 comments
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