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### What happened + What you expected to happen
I am running a cross-validation with:
`neuralforecast.cross_validation(df=df, n_windows=n_windows, step_size=step_size)`
n_windows = 30 and step_size…
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Hi yuan,
You have extensive list of clockwork models in your repository, I just want to know if you have any plan to port any of them for Keras 1.0,
thanks
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### Feature
[Revisiting Recurrent Reinforcement Learning with Memory Monoids](https://arxiv.org/abs/2402.09900) provides a method to combine recurrent models with standard, nonrecurrent RL losses. Th…
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## 一言でいうと
重みに制約を与えたRNNは、長さを切った全結合のネットワークでほぼ近似できるとした研究。理論の前提となる、重みについての制約と勾配についての制約がネットワークのパフォーマンスに影響を与えないことを実験で確認し、理論が成立するとしている。
![image](https://user-images.githubusercontent.com/544269/4362013…
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Minor issue, but I think us using step functions as terminology for the iteration/update steps in `accumulate_scan` is possibly a bit confusing? Because "step function" is a pretty well known maths co…
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Hello,
I was trying to test dspy with HuggingFace models instead of going into my Azure OpenAI. As I was trying to test this out, I'm having this issue recurrently with every model I tryout.
Thes…
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Hi,
I think there's something wrong with the quick start example. I see rising accuracy but no real words:
> sed for light, but only as an oi|ma;loaob1lu oh eoobol g oop"ebaoiple (55.3%)
> …
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Recurrent Neural Networks Introduction
![image](https://user-images.githubusercontent.com/19603921/193088442-d95d519b-3254-400f-b3e5-d6b4ae2c9a4e.png)
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I wonder how should I set up my script to do some tests on a GRU / LSTM based model, with some linear layers etc. I have done some tests of your tools and they work, however I'm struggling finding whi…
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To sample sequentially from a recurrent model, it would be useful to add some API for accepting an initial hidden state and running the model forward one time step.