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ML/TensorFlow/CNN_architectures/ResNet/README.md
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ML/TensorFlow/CNN_architectures/ResNet/README.md
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[Original Paper - Deep Residual Learning for Image Recognition (2015)](https://arxiv.org/abs/1512.03385)
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[Related Video](https://www.youtube.com/watch?v=DkNIBBBvcPs&ab_channel=AladdinPersson)
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Some questions that came to my mind when I was reading the paper
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- [How do bottleneck architectures work in neural networks?](https://stats.stackexchange.com/questions/205150/how-do-bottleneck-architectures-work-in-neural-networks)
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- [What does dotted line mean in ResNet?](https://stats.stackexchange.com/questions/457787/what-does-dotted-line-mean-in-resnet) `refering to Figure 3, 34-layer residual from paper`
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