BigDataFr recommends: 10 Advanced Deep Learning Architectures Data Scientists Should Know!
[…] It is becoming very hard to stay up to date with recent advancements happening in deep learning. Hardly a day goes by without a new innovation or a new application of deep learning coming by. However, most of these advancements are hidden inside the large amount of research papers that are published on mediums like ArXiv / Springer
To keep ourselves updated, we have created a small reading group to share our learnings internally at Analytics Vidhya. One such learning I would like to share with the community is a a survey of advanced architectures which have been developed by the research community.
This article contains some of the recent advancements in Deep Learning along with codes for implementation in keras library. I have also provided links to the original papers, in case you are interested in reading them or want to refer them.[…]