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Commits on Jul 11, 2017

• 修改了版本兼容性问题，error: conversion from ‘thpp::TensorBase<float, thpp::Storage<float>, thpp::Tensor<float> >::Ptr {aka thpp::TensorPtr<thpp::Tensor<float> >}’ to non-scalar type ‘const thpp::Tensor<float…

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Commits on May 16, 2016

• 添加了输出网络参数的代码。

  sagisaga

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Commits on May 6, 2016

• 添加了代码，处理单幅图像时输出RNN生成的概率矩阵。

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Commits on May 4, 2016

• 添加了生成样本数据库和收集识别错误的负面样本的脚本。

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• 1 在生成数据库文件时，同时把图像路径添加进去。

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Commits on May 3, 2016

• 在日志中输出识别结果和真值的对应情况。

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Commits on Apr 29, 2016

• 优化了调用，require()函数只需要调用一次即可。

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• 1 看了权重初始化的Lua代码，是把网络返回，所以，省去了很多中间变量。

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• 在网络的第一个卷积层构建完成后，对其权重进行初始化。

  sagisaga

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• 把权重初始化的文件放在main_train文件所在的目录，并能正常使用。

  sagisaga

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• 添加了权重初始化的文件。

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• 找到训练流程自身提供的诊断梯度范数的函数，diagnoseGradients

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Commits on Apr 28, 2016

• 添加代码，输出每批训练时的梯度范数。

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Commits on Apr 27, 2016

• 找到RNN训练中，对梯度范数添加硬约束的地方。

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• 文档使用UTF-8格式，防止在Github中出现乱码。

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• 添加了训练日志。

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• 添加了config.lua中的参数注释，测试Github。

  sagisaga

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Commits on Mar 16, 2016

• Update README.md

  bgshih

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Commits on Feb 22, 2016

• Fix compatibility issues with the latest Torch7 version; Please re-download the updated model

  bgshih

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Commits on Dec 21, 2015

• Update create_dataset.py

  bgshih

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• Update create_dataset.py

  bgshih

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Commits on Dec 19, 2015

• Initial commit

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