WE MUST ADD STRUCTURE TO DEEP LEARNING BECAUSE...
推荐理由
I thought it was proven Transformers cannot do recursion[0]
说明
这是2024年由Machine Learning Street Talk发布的一部播客,主题归在Machine learning & deep learning。它讲的是categorical deep learning这一支里的具体问题,而不是把整个领域扫一遍。适合想看推导、证明或实现细节的人。内容上可以概括成:Machine Learning Street Talk interviews Paul Lessard about Categorical Deep Learning, which uses category theory and monads to make neural network architectures more interpretable and composable. They also discuss neural networks' limits in reasoning and unbounded computation.这些读者给出的理由,核心是:Mostly cited in passing, e.g. regarding claims that transformers cannot do recursion and as an example of structured deep learning work.它贴着当时的技术,看的时候要记得那是那个年份的判断。从2024年到2024年,有0位不同的读者在0个不同月份把它推荐出来,其中明确叫别人去看的有0次。适合只听声音的人。把论点听完整,比盯着画面重要。如果已经会了基本定义,就把注意力放在它怎么把categorical deep learning变成能跟着复述的例子。
视频信息
- 频道
- Machine Learning Street Talk
- 时长
- 1 小时 49 分
- 发布年份
- 2024
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