lmqhello

如何增加自己的模型？

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如何增加自己的模型？可否详细说一下增加的步骤

您好，是否可以介绍下自定义的数据集如何实现训练评估等操作

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最好能够详细一些，非常感谢！

How to use RelationNetworks?

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**Problem** How to use RelationNetworks? **Considered solutions** I keep getting errors. **How can we help** Can you provide a case? In detail?Thank you very much.

举个例子： ```` def` __init__(self, num_classes=-1): super(AlexNet, self).__init__() self.num_classes = num_classes self.features = nn.Sequential( nn.Conv2d(3, 64, kernel_size=11, stride=4, padding=2), nn.ReLU(inplace=True), nn.MaxPool2d(kernel_size=3, stride=2), nn.Conv2d(64, 192, kernel_size=5, padding=2), nn.ReLU(inplace=True), nn.MaxPool2d(kernel_size=3, stride=2), nn.Conv2d(192, 384,...

Are there any new models for time series that can be used

from sklearn import datasets iris_data = datasets.load_iris() X= iris_data.data Y= iris_data.target 用上述代码测试了一下，差异很大呢

运行代码就报错？都没修改

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Traceback (most recent call last): File "src/main.py", line 19, in main() File "src/main.py", line 14, in main model.fit() File "/lmq/CapsGNN/src/capsgnn.py", line 293, in fit prediction, reconstruction_loss = self.model(data) File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py",...

跑你的例程都没动 val_loss: nan val_acc: nan 为啥这2个值都是nan呢？