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- [x] Adadelta
- [ ] Adagrad
- [ ] RMSProp
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hello. i think it's an impressive work, and it can also work on real images.
Could you provide the code ( real image to z ), thank you very much!
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I am getting this error whenever I use `NNlib.batched_transpose(x)` in the model. I get the error while backpropagation, forward propagation is running fine.
`ERROR: LoadError: Need an adjoint for…
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## 候補
- Quantum Circuit Parameters Learning with Gradient Descent Using Backpropagation [[0]](https://arxiv.org/pdf/1910.14266)
- Training deep quantum neural networks [[1]](https://www.nature.com/a…
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Hi @zongyi-li, I see there are a few training losses calculated here. Which one should be used for backpropagation? Thanks!
https://github.com/ramanathanlab/molecular_dynamics_neural_operator/blob/…
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Could you please tell me why there is no back propagation algorithm in your code?Or you have finished it in other way ? And I didn't find it yet?Thank you !
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Hello everyone, I want to express my gratitude for your efforts.
I'm having trouble understanding the Training pipeline especially since you're using mmcv for the training manager. In your code, yo…
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### 🚀 The feature, motivation and pitch
DTW is a crucial algorithm for measuring similarity between temporal sequences, but its computational complexity can be a bottleneck, particularly with large…
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Thanks for open-source this great work.
Could you help explain how semsim_score affect finetune BART's paramter? I saw it used in final loss (_loss = loss - loss_weight * **semsim_score**_). But w…
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Iter_size in caffe solver enables to perform backpropagation after a number of forward passes defined by the value of Iter_size. Hence, allowing an increased batch size without GPU memory restriction.…