Row 81488

Row ID: 81488 | Dataset Entry | Axioma AXP Content Repository

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It's very simple. First divide all pixel values by 255 so that they are in [0,1]. Then calculate the channel means and stddevs across your dataset. This is how you obtain the parameters for torches normalization layer. Or you can just use the ones derived from imagenet which should work just fine.

FieldValue
text It's very simple. First divide all pixel values by 255 so that they are in [0,1]. Then calculate the channel means and stddevs across your dataset. This is how you obtain the parameters for torches normalization layer. Or you can just use the ones derived from imagenet which should work just fine.
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-24
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Raw Record

{
  "text": "It's very simple. First divide all pixel values by 255 so that they are in [0,1]. Then calculate the channel means and stddevs across your dataset. This is how you obtain the parameters for torches normalization layer. Or you can just use the ones derived from imagenet which should work just fine.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-24",
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