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d2l-ai / d2l-en

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[Tensorflow] Plots appear smoother inconsistent with MXNet/PyTorch

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AnirudhDagar
AnirudhDagar commented Jan 24, 2022

Although the results look nice and ideal in all TensorFlow plots and are consistent across all frameworks, there is a small difference (more of a consistency issue). The result training loss/accuracy plots look like they are sampling on a lesser number of points. It looks more straight and smooth and less wiggly as compared to PyTorch or MXNet.

It can be clearly seen in chapter 6([CNN Lenet](ht

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tensorflow-adapt-track good first issue
Game-Programmer-Study-Notes

QianMo / Game-Programmer-Study-Notes

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⚓ 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.

blog books book notes graphics rendering game-development shader ebook game-programming ebooks study-notes cg gpu-programming realtime-rendering real-time-rendering game-developing-notes game-programmer
  • Updated Oct 16, 2021

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