Row 6789

Row ID: 6789 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 6789 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

are the training algorithm for neural networks in matlab like levenberg–Marquardt, Bayesian regularization, and scaled conjugate gradient training algorithms avaliable in pytorch or are they under different names ? i don’t have the money for matlab like other research facilities have but i’m going to use pytorch + sorry for the rookie question

FieldValue
text are the training algorithm for neural networks in matlab like levenberg–Marquardt, Bayesian regularization, and scaled conjugate gradient training algorithms avaliable in pytorch or are they under different names ? i don’t have the money for matlab like other research facilities have but i’m going to use pytorch + sorry for the rookie question
label r/neuralnetworks
dataType post
communityName r/neuralnetworks
datetime 2024-05-13
username_encoded Z0FBQUFBQm5LakwzbmRwMGtZdFdQcUdaa25hWlVDbF9LWU5XTmQ3YWtNdEw0ekY5SzRNR0JPdmp2dEl6bDRYVXNXUVBwYktJTk1KRkJ4Tkd4azdJeS00RVFfS2NSMk1MUWJRUTQ3UmR3aWVsWlZITC02Vl9SdU09
url_encoded Z0FBQUFBQm5Lak9HNGJuNHluUnZZRWlxNFA0QXZCblc0QVA3amlkdGw1MWlYa244aU5ucFBfQ1BhdDhDdVN5d3MxVHNrY1ZoX0YzQ2xnb0JJMDdTTFZ4bUtZRDFsTXM0TlRpRElIZTUzeEx1M2gxZkdQOXhoaUx0Y3JGSTFxalI3TlBvMm5pbVdicXNIaENQOUxBNHdsTU4wV0VKbEc0SHBmUFVwNE0yNjBxVEJsS2hUdFlTQmZxeHpheWdZbnctVlF2S01EUVFEMzZncDNPbHVGSF92R0otMkc2eEkyTXE5Zz09

Raw Record

{
  "text": "are the training algorithm for neural networks in matlab like levenberg–Marquardt, Bayesian regularization, and scaled conjugate gradient training algorithms avaliable in pytorch or are they under different names ? i don’t have the money for matlab like other research facilities have but i’m going to use pytorch + sorry for the rookie question",
  "label": "r/neuralnetworks",
  "dataType": "post",
  "communityName": "r/neuralnetworks",
  "datetime": "2024-05-13",
  "username_encoded": "Z0FBQUFBQm5LakwzbmRwMGtZdFdQcUdaa25hWlVDbF9LWU5XTmQ3YWtNdEw0ekY5SzRNR0JPdmp2dEl6bDRYVXNXUVBwYktJTk1KRkJ4Tkd4azdJeS00RVFfS2NSMk1MUWJRUTQ3UmR3aWVsWlZITC02Vl9SdU09",
  "url_encoded": "Z0FBQUFBQm5Lak9HNGJuNHluUnZZRWlxNFA0QXZCblc0QVA3amlkdGw1MWlYa244aU5ucFBfQ1BhdDhDdVN5d3MxVHNrY1ZoX0YzQ2xnb0JJMDdTTFZ4bUtZRDFsTXM0TlRpRElIZTUzeEx1M2gxZkdQOXhoaUx0Y3JGSTFxalI3TlBvMm5pbVdicXNIaENQOUxBNHdsTU4wV0VKbEc0SHBmUFVwNE0yNjBxVEJsS2hUdFlTQmZxeHpheWdZbnctVlF2S01EUVFEMzZncDNPbHVGSF92R0otMkc2eEkyTXE5Zz09"
}
Explore Dataset Explore Row

Entry Information