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阅读笔记: 仅希望对底层有一定必要的感性认识,包括一些基本核心概念. Here只关注Graph相关,因为对编程有益. TF – Kernels模块部分参见:https://mp.weixin.qq.com/s/vwSlxxD5Ov0XwQCKy1oyuQ TF – Session部分,也可以在起专题总结:https://mp.weixin.qq.com/s/Bi6Rg-fEwyN4uIyRHDPhXg Tensorflow Download: https://github.com/tensorf…
Calculus on Computational Graphs: Backpropagation Introduction Backpropagation is the key algorithm that makes training deep models computationally tractable. For modern neural networks, it can make training with gradient descent as much as ten milli…
Posted on August 31, 2015 Introduction Backpropagation is the key algorithm that makes training deep models computationally tractable. For modern neural networks, it can make training with gradient descent as much as ten million times faster, relativ…
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