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11 年
applying-deep-learning-rbm-mnist-using-python.md - GitHub
我们的 rbm.py 脚本需要三个参数: --dataset,这是我们的 MNIST 所在的路径。 csv 文件驻留在磁盘上, --test,用于我们的测试分割的数据百分比 (其余用于训练),以及 --search,一个用于确定是否应该执行网格搜索来调整超参数的整数。
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