There are several areas where deep learning is very active and breakthroughs are emerging almost every week. Reinforcement learning with its applications in robotics and simulated agents is clearly one of the most active areas. Image, video, and voice recognition are still active areas. NLP is improving dramatically, but maybe human-level performance in the near future is beyond reach, as it is probably one of the hardest areas. (For some criticism ...
11. New Research and Future Directions
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