Major Resources used for CNN Part – II

1.Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. “Imagenet classification with deep convolutional neural networks.” Advances in neural information processing systems. 2012.

2.cvml.ist.ac.at/courses/DLWT_W17/material/AlexNet.pdf

3.https://medium.com/@smallfishbigsea/a-walk-through-of-alexnet-6cbd137a5637

4. https://towardsdatascience.com/a-simple-guide-to-the-versions-of-the-inception-network-7fc52b863202

5. Szegedy, Christian, et al. “Going deeper with convolutions.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2015.

6. https://hacktilldawn.com/2016/09/25/inception-modules-explained-and-implemented/

7. Szegedy, Christian, et al. “Rethinking the inception architecture for computer vision.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.

8. http://cs231n.stanford.edu/slides/2017/cs231n_2017_lecture9.pdf

9. https://stackoverflow.com/questions/43382499/reducing-filter-size-in-convolutional-neural-network

10. He, Kaiming, et al. “Deep residual learning for image recognition.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.

11. https://medium.com/@14prakash/understanding-and-implementing-architectures-of-resnet-and-resnext-for-state-of-the-art-image-cf51669e1624

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