Row 3790

Row ID: 3790 | Dataset Entry | Axioma AXP Content Repository

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I am coding a neural network from scratch and am wondering what kind of activation functions work best for regression problems (I am trying make it evaluate sine of the input). What sort of range should I have my weights and biases, and should they be negative as well as positive. Does the training process differ from classification networks? Any help is appreciated : )

FieldValue
text I am coding a neural network from scratch and am wondering what kind of activation functions work best for regression problems (I am trying make it evaluate sine of the input). What sort of range should I have my weights and biases, and should they be negative as well as positive. Does the training process differ from classification networks? Any help is appreciated : )
label r/neuralnetworks
dataType post
communityName r/neuralnetworks
datetime 2024-03-24
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Raw Record

{
  "text": "I am coding a neural network from scratch and am wondering what kind of activation functions work best for regression problems (I am trying make it evaluate sine of the input). What sort of range should I have my weights and biases, and should they be negative as well as positive. Does the training process differ from classification networks? Any help is appreciated : )",
  "label": "r/neuralnetworks",
  "dataType": "post",
  "communityName": "r/neuralnetworks",
  "datetime": "2024-03-24",
  "username_encoded": "Z0FBQUFBQm5LakwxVHpHNUoxYXFBQURPeHlySWVidVBaWmp1TTEycjVaVmpsSVV6Um1nRkxQOGl2TXNMVTJtRGlEYUF5NWdkcGhsb09EX1pFbVlXTXlkaXg5bHdaR3ZOZnc9PQ==",
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}
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