Row 4586

Row ID: 4586 | Dataset Entry | Axioma AXP Content Repository

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For self learning purposes, I wanna try making regular good old gradient descent from scrach with the help of autograd as a part of my training loop for my neural network, instead of an optimizer.

for example:

`model=Net() #Declare model. A CNN probably`

`for epoch in range(EPOCHS):`

`for i in range(steps):`

`y=model(x)`

`loss=criterion(y)`

`#Old-Fashioned Gradient descent here that updates the parameters`

While I understand the basic functionality of autograd I have some doubts and I am not sure if I will do it right.

Thanks in advance for the help

FieldValue
text For self learning purposes, I wanna try making regular good old gradient descent from scrach with the help of autograd as a part of my training loop for my neural network, instead of an optimizer. for example: `model=Net() #Declare model. A CNN probably` `for epoch in range(EPOCHS):` `for i in range(steps):` `y=model(x)` `loss=criterion(y)` `#Old-Fashioned Gradient descent here that updates the parameters` While I understand the basic functionality of autograd I have some doubts and…
label r/pytorch
dataType post
communityName r/pytorch
datetime 2024-04-17
username_encoded Z0FBQUFBQm5LakwxWmNveXVUQlE0U0hTZnBlYlZvWXR0VG1TSDFUQkNPZDRNUkoxeFFqcjNOd0VVSXEydFRqZDNlaTJKbk1BamlHZUlSX2F4cXlTaTdHeFJqWDUyRzI0cEE9PQ==
url_encoded Z0FBQUFBQm5Lak9GcDMzR1d5TWswRng1TnotUVVTN1A5MWlnOU1KVWZKODgtR3d6clBidjFhVlZoUHZKQWpiLU83bmNDUUQ2ZHZZQVotVzEzZndYLUxXSkJFS3MwbGNCYmYxbmVTRlp1M3pMWEJ6b3pKTFNKX1VyVno2NTBSVVJNNGtsOHNRS3dLT3o5bS1GcTJ4MEJjQUhYOGQ3cTlOVGVKYkhnOWdfOEljNDMxY2FKM1otU2k3MXEtdVZZOHB2OExfRncwSVh3SnRs

Raw Record

{
  "text": "For self learning purposes, I wanna try making regular good old gradient descent from scrach with the help of autograd as a part of my training loop for my neural network, instead of an optimizer.\n\nfor example:\n\n  \n`model=Net() #Declare model. A CNN probably`\n\n`for epoch in range(EPOCHS):`\n\n`for i in range(steps):`\n\n`y=model(x)`\n\n`loss=criterion(y)`\n\n`#Old-Fashioned Gradient descent here that updates the parameters`\n\n\n\nWhile I understand the basic functionality of autograd I have some doubts and I am not sure if I will do it right. \n\nThanks in advance for the help",
  "label": "r/pytorch",
  "dataType": "post",
  "communityName": "r/pytorch",
  "datetime": "2024-04-17",
  "username_encoded": "Z0FBQUFBQm5LakwxWmNveXVUQlE0U0hTZnBlYlZvWXR0VG1TSDFUQkNPZDRNUkoxeFFqcjNOd0VVSXEydFRqZDNlaTJKbk1BamlHZUlSX2F4cXlTaTdHeFJqWDUyRzI0cEE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9GcDMzR1d5TWswRng1TnotUVVTN1A5MWlnOU1KVWZKODgtR3d6clBidjFhVlZoUHZKQWpiLU83bmNDUUQ2ZHZZQVotVzEzZndYLUxXSkJFS3MwbGNCYmYxbmVTRlp1M3pMWEJ6b3pKTFNKX1VyVno2NTBSVVJNNGtsOHNRS3dLT3o5bS1GcTJ4MEJjQUhYOGQ3cTlOVGVKYkhnOWdfOEljNDMxY2FKM1otU2k3MXEtdVZZOHB2OExfRncwSVh3SnRs"
}
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