GitHub - TitaniumOne/HandwrittenNumberRecognition: 运用tensorflow框架、mnist数据集、视觉处理的优化方法（如梯度下降分析、滑动平均）训练模型，达到识别单一手写数字精确度92%；利用滑动平均值、正则化增强模型泛化能力，提高了模型运用到新样本的能力

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运用tensorflow框架、mnist数据集、视觉处理的优化方法（如梯度下降分析、滑动平均）训练模型，达到识别单一手写数字精确度92%；利用滑动平均值、正则化增强模型泛化能力，提高了模型运用到新样本的能力

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.idea		.idea
__pycache__		__pycache__
data		data
model		model
pic		pic
LICENSE		LICENSE
mnist_app.py		mnist_app.py
mnist_backward.py		mnist_backward.py
mnist_forward.py		mnist_forward.py
mnist_test.py		mnist_test.py

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MIT License

Copyright (c) 2019 Hao Liu

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