Record in Training of Deep Learning
2018-01-19 08:59
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Creating model:
To create this model, we're going to need to create a lot of weights and biases. One should generally initialize weights with a small amount of noise for symmetry breaking, and to prevent 0 gradients.
数据从csv转record时,spyder报错
ArgumentError: argument --csv_input: conflicting option string: --csv_input
解决办法: 重启内核( Consoles -> Restart kernel )
Dropout is often very effective at reducing overfitting, but it is most useful when training very large neural networks.
To create this model, we're going to need to create a lot of weights and biases. One should generally initialize weights with a small amount of noise for symmetry breaking, and to prevent 0 gradients.
数据从csv转record时,spyder报错
ArgumentError: argument --csv_input: conflicting option string: --csv_input
解决办法: 重启内核( Consoles -> Restart kernel )
Dropout is often very effective at reducing overfitting, but it is most useful when training very large neural networks.
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