cs501r_f2016:tmp
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| **Important note**: the dropconnect paper has a somewhat more sophisticated inference method (that is, the method used at test time). **We will not use that method.** Instead, we will use the same inference approximation used by the Dropout paper -- we will simply scale things by the ''keep_probability''. | **Important note**: the dropconnect paper has a somewhat more sophisticated inference method (that is, the method used at test time). **We will not use that method.** Instead, we will use the same inference approximation used by the Dropout paper -- we will simply scale things by the ''keep_probability''. | ||
| - | You should scan across the same values of ''keep_probability'', and you should generate the same plot. | + | You should scan across the same values of ''keep_probability'', and you should generate a similar plot. |
| Dropconnect seems to want more training steps than dropout, so you should run the optimizer for 1500 iterations. | Dropconnect seems to want more training steps than dropout, so you should run the optimizer for 1500 iterations. | ||
cs501r_f2016/tmp.txt ยท Last modified: 2021/06/30 23:42 (external edit)
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