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自学笔记

自己学习人工智能的一些笔记
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A differentiable approach to inductive logic programming
Recent work in neural abstract machines has proposed many useful techniques to learn sequences of applications of discrete but differentiable operators. These tech- niques allow us to model traditionally procedural problems using neural networks. In this work, we are interested in using neural networks to learn to perform logic reasoning. We propose a model that has access to differentiable operators which can be composed to perform reasoning. These differentiable reasoning operators were first introduced in TensorLog, a recently proposed probabilistic deductive database. Equipped with a model than can perform logic reasoning, we further investigate the task of inductive logic programming.
西红柿炒鸡蛋
2020-06-16
4971
SpringBoot简介
首先springboot最亮眼的特点就是简单,其次也是入门级的微服务,同时springBoot提供了一整套的微服务。
西红柿炒鸡蛋
2020-01-15
5860
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