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Hello,
I am using custom dataset with 3000 images(Having 3 classes, each contain 1000 images). The dataset is divided to 2250 training and 750 testing examples. The input to the model is (32,32,3). I…
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### 🐛 Describe the bug
/root/miniconda3/envs/arctic_sic_prediction/lib/python3.12/site-packages/torch/autograd/graph.py:744: UserWarning: Error **detected in MseLossBackward0. Traceback of forward ca…
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Using Keras 3, I am trying to load up a built and trained model from Keras 2 API that is stored in .json with weights stored in .h5. The model file is the following: [cnn_model.json](https://github.co…
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2_2_2
```python
import numpy as np
t = np.array([0., 1., 2., 3., 4., 5., 6.])
# 파이썬으로 설명하면 List를 생성해서 np.array로 1차원 array로 변환함.
print(t) #[0. 1. 2. 3. 4. 5. 6.]
print('Rank of t: ', t.ndim) #.…
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emmmm虽然热度已经过去了
我最近一直在研究神经网络玩跳一跳是不是可行,也做了很多的尝试。
对比了我们网络的结构,也做了很多尝试,我觉得把两点坐标作为输出更好,并且网络应该适当大一些。我这里试验下来三层卷积核大小32-48-64+64全连接效果就很好。
另外数据采集部分可以clone其他开源项目的代码稍加修改就可以完成自动化。
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**System information**
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow): Yes
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 20.04
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It would be great if it could support BERT, LLaMA and other model training.
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One thing human ascii artists do, is shift input image regions to adapt to the text grid alignment and available character set. Finally i found smart people who found a way to emulate this.
http:/…
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The goal of this issue is to implement MSE Optimizer.
I have tested it on CNN models and Transformer-typed models(but not LLMs), mse worked pretty well. What's more, MSE is simple and intuitive.