Loss.backward()

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Loss.backward() has 1 fact recorded in Dontopedia across 1 reference.

1 facts·1 predicates·1 sources

Triggers`triggers`

Gradient Computation^[1]all time · D9a80d69 C4c9 47c5 8393 2eaf674f6563

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Optimizer.step()ex:optimizer.step()

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triggersbeam/d9a80d69-c4c9-47c5-8393-2eaf674f6563

ex:gradient-computation

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1 references

[1]beam-chunk1 fact
customctx:claims/beam/d9a80d69-c4c9-47c5-8393-2eaf674f6563
- full textbeam-chunk
  text/plain1 KBdoc:beam/d9a80d69-c4c9-47c5-8393-2eaf674f6563
  Show excerpt
  inputs = torch.tensor(decrypted_batch['query'], dtype=torch.float32).to(device) labels = torch.tensor(decrypted_batch['label'], dtype=torch.long).to(device) # Forward pass outputs = model(inputs) los…

Loss.backward()

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Loss.backward()

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