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I want share some videos of Andrew Ng courses that can help the team to use 4 CPU to calculate the gradient of
the cost function and optimize the neural network (with or without Adam Algorithm).
A…
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When we have the first integrated version skorch-api+dataset, we can make a pass over the code to enforce some more consistency and see what style we prefer (beyond just pep8).
Let's collect open q…
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Hi @ageron ,
According to Chapter4, LinearRegression() in Scikit-Learn uses SVD for finding the model parameters. SGDRegressor() uses SGD algorithm to find the models parameters. Even partial_fit m…
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Part of README #53
```haskell
-- A function that goes from `R^3` to `R`.
-- [Arguments are tupled, could just as easily be curried. -awf]
foo :: RealFloat a => (a,a,a) -> a
foo (x,y,z) =
…
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본 논문 **2.3 Parallel training of Neural Networks** 문단에서 대용량 데이터셋을 모델에 학습시키기 위해 대용량 분산 프레임워크 DistBelief를 사용했다고 하는데요, 여기서 모델을 parallel하게 학습시키기 위한 **parallel training**이 GPU를 학습에 사용하는 방식과 동일한 학습 방식인가요?
…
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Also, I only have used 20 epochs for train/val. I am not sure why it is showing 100 epochs?
![Screenshot from 2022-03-10 11-10-16](https://user-images.githubusercontent.com/1892917/157705895-6bf4cf…
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**Is your feature request related to a problem? Please describe.**
`RandZoom` uses `Zoom` which uses [`torch.nn.functional.interpolate`](https://pytorch.org/docs/stable/generated/torch.nn.functional.…
drbeh updated
2 years ago
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With large datasets it sometimes makes sense to check the validation set before the epoch ends, because the model could reach decent performance even with just 1-2 epochs, so we want to monitor it ear…
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Hello, I've been playing around with gpytorch recently and it is great! I just had a few questions around training and evaluation. These are in the context of exact GPs for regression.
I have somet…
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### Topic Suggestion
### Proposal Submission
#### Proposed title of article
Gradient Descent algorithm and its variants in Neural Network
#### Proposed article introduction
Gradient descent…