Row 3806

Row ID: 3806 | Dataset Entry | Axioma AXP Content Repository

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i see, the way i built my library was having an activation class so my back propogation is pretty static, the only thing that changes is the activation functions themselves, i did the same with the loss and it works, same with the other activation functions. It's just the soft max that i can't seem to get to work rn, I moved from mini-batch to SGD as it showed better results in learning. Someone suggested that it might be floating point precision, idk if that is the case though

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text i see, the way i built my library was having an activation class so my back propogation is pretty static, the only thing that changes is the activation functions themselves, i did the same with the loss and it works, same with the other activation functions. It's just the soft max that i can't seem to get to work rn, I moved from mini-batch to SGD as it showed better results in learning. Someone suggested that it might be floating point precision, idk if that is the case though
label r/neuralnetworks
dataType comment
communityName r/neuralnetworks
datetime 2024-03-24
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{
  "text": "i see, the way i built my library was having an activation class so my back propogation is pretty static, the only thing that changes is the activation functions themselves, i did the same with the loss and it works, same with the other activation functions. It's just the soft max that i can't seem to get to work rn, I moved from mini-batch to SGD as it showed better results in learning. Someone suggested that it might be floating point precision, idk if that is the case though",
  "label": "r/neuralnetworks",
  "dataType": "comment",
  "communityName": "r/neuralnetworks",
  "datetime": "2024-03-24",
  "username_encoded": "Z0FBQUFBQm5LakwxNGN5UjhBVExEZ0ZYck1STUlzb0tEbHlBNnUwY2JLMkpNdmFMMHpndDFFQjRLUGhZNEIwdFFKQ2VUSFBJSnU5WnZNY0lJYXdJeEo1b1BQNmdMZHFrUmc9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9FLVpOSnJmWHJJaGloYkRHTjF1SlptNXdpSDJrSVBMX2tDR25nZXRBU2Q2bHJmRlIyenRmcUVCU0tVeHIxNEEwRTNLZFdrejlUb0lFdnIwQ0hNdlVuQ1BUWXViS3VHdTR6dG9oMWFyNVpUaVpUd3NOdTN6N3hhamdHeWxXdjZzMUs2cXhPMjNjNFNzWmpXUkIyem9sZFRpUnhXU1Z6OExYTDhYemVJdHZhQ2p6dENWbE1kSUR0VUxfQ3Ffcm53ZmwwVVFpMXhGYTZxalZNTEw3dmpyQjU2UT09"
}
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