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Опубликовано 21 марта 2018, 21:59
Episode 16 | March 21, 2018
Dr. Trischler talks about his dream of making literate machines, his efforts to design meta-learning algorithms that can actually learn to learn, the importance of what he calls “few-shot learning” in that meta-learning process, and how, through a process of one-to-many mapping in machine learning, our computers not may not only be answering our questions but asking them as well.
See more at microsoft.com/en-us/research/b...
Dr. Trischler talks about his dream of making literate machines, his efforts to design meta-learning algorithms that can actually learn to learn, the importance of what he calls “few-shot learning” in that meta-learning process, and how, through a process of one-to-many mapping in machine learning, our computers not may not only be answering our questions but asking them as well.
See more at microsoft.com/en-us/research/b...
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