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Correct dropout p definition based on test cases #15

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Correct dropout p definition based on test cases #15

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2 changes: 1 addition & 1 deletion hw2.ipynb
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Expand Up @@ -491,7 +491,7 @@
"**Important**: If the Dropout module the flag `training=False`, you shouldn't \"dropout\" any weights. That is, dropout applies during training only, not during evaluation. Note that `training` is a flag in `nn.Module`.\n",
"\n",
"##### Parameters\n",
"- `p` - the probability of an element to be zeroed.\n",
"- `p` - the probability of an element to be kept.\n",
"\n",
"___"
]
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