ML/TensorFlow/CNN_architectures/ResNet/README.md

[Original Paper - Deep Residual Learning for Image Recognition (2015)](https://arxiv.org/abs/1512.03385)  
[Related Video](https://www.youtube.com/watch?v=DkNIBBBvcPs&ab_channel=AladdinPersson)

Some questions that came to my mind when I was reading the paper

- [How do bottleneck architectures work in neural networks?](https://stats.stackexchange.com/questions/205150/how-do-bottleneck-architectures-work-in-neural-networks)
- [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`
Initial commit 2021-01-30 21:49:15 +01:00			`[Original Paper - Deep Residual Learning for Image Recognition (2015)](https://arxiv.org/abs/1512.03385)`
			`[Related Video](https://www.youtube.com/watch?v=DkNIBBBvcPs&ab_channel=AladdinPersson)`

			`Some questions that came to my mind when I was reading the paper`

			`- [How do bottleneck architectures work in neural networks?](https://stats.stackexchange.com/questions/205150/how-do-bottleneck-architectures-work-in-neural-networks)`
			- [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`