12 Deep Learning Researchers and Leaders
Having first appeared on the scene of machine learning in 1986 and artificial neural networks in 2000, the study of deep learning continues to explode with new research, advanced techniques, higher benchmarks, and broader applications. Keeping pace in such an active field with an average of 30 new deep learning papers uploaded to arXiv per day over the previous month is daunting, to say the least. While there are many key deep learning scientists and engineers active today, the following list of 12 researchers and innovators in the field are among the most important – and they so happen to actively share on social media, making their progress and insights much easier to keep up with. So, start paying attention to these 12 top deep learning individuals, and be prepared to expand your understanding and awareness of the incredible advancements deep learning is bringing to science, industry, and society. While it in no way correlates to everyone's contribution to the field, the list is sorted by the number of Twitter followers so you can see who appears to have the most reach today.
Sep-23-2019, 17:35:13 GMT
- Country:
- Oceania > Australia (0.05)
- North America
- Europe > United Kingdom
- England
- Cambridgeshire > Cambridge (0.15)
- Greater London > London (0.05)
- England
- Genre:
- Personal (0.30)
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