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Ten predictions of 2019 year deep learning

Revolutionary progress should occur in stages, and what we are experiencing today is the main obstacle to achieving the Interventional level. This does not mean that we can't make any progress, but there are many unresolved results in the current maturity level, and these results are ready for development. The progress of DL in 2019 year will mainly focus on this pragmatic understanding.

BAT expert interpretation: How to choose the most appropriate deep learning framework?

With deep learning attention and momentum, deep learning is being combined with the production practices of more and more companies and organizations. At this time, whether it is for beginners of deep learning related majors or developers who have been engaged in industrial scene application and R&D in enterprises and organizations, it is particularly important to choose a deep learning framework that suits their needs and suits the needs of business scenarios.

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