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Implemented 2-parametric automatic learning rate schedule based on moving average and gradient - ADADELTA.
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### 🚀 The feature, motivation and pitch
This feature request revolves around augmenting the PyTorch CPP API by integrating additional optimizers that are currently absent. Specifically, I propose t…
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I think in the original paper of adadelta, there is no step_rate.
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I am trying to train a translation model for English and French. When I run train.py, it gives the error
Traceback (most recent call last):
File "train.py", line 8, in
from groundhog.trainer…
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I am using [AdaDelta ](https://cntk.ai/pythondocs/cntk.learners.html#cntk.learners.adadelta)as an optimizer for a neural network (XOR-problem, 1 hidden layer, TanH as an activation function, output la…
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The learning rate parameter is used in a very unintuitive way in the implementation of the `AdaDelta` learning rule -- it's scaled by the `lr_scalers` and then fed in as the epsilon parameter describe…
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# [WeeklyReports] 2024.08.26~2024.09.08 周报汇总
请各位学员在本 issue 下以 comment 的形式填写周报摘要,ddl 本周日晚,格式示例如下:
```
### 姓名
xxx
### 本周工作
1. xxx
2. xxx
### 下周工作
1. xxx
2. xxx
### 详细周报链接:
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Hi there,
Can anybody please guide me that is it possible to use Adam, RMSProp, Adadelta and other optimizers with Yolo models?
Thanks.
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I have done something similar in a recent project using Hydra/PyTorch and I'm evaluating if it makes sense for me to switch to this (I'm trying to simplify the code by replacing as much as I can with …