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Hi, is it possible to change the initial values for the weights and biases? I think they are set in Lasagne but I don't know which initial values are used and if I can change them using "Classifier".
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Thanks for sharing this code. I have a question that how do you implement the experiments of large-scale datasets such as Paper100M or Mag? Can you share this part of the code?
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Hi, when you fine tune the model, do you use a linear classifier, or an MLP classifier?
Thank you!
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Hello! I have been studying your paper recently and there exists something that confuses me and I would like to get your answer.
1, Your model diagram shows that Verb is the predicted word, Role is t…
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What steps will reproduce the problem?
1. Invoke MLP classifier in ROI tagger logic
2. When model goes to be trained on ROIs,
3. Classifies all results as positive.
What is the expected output? …
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In https://github.com/scikit-learn/scikit-learn/pull/19859, I am heading toward addressing some issue already reported long time ago there: https://github.com/scikit-learn/scikit-learn/issues/2451
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The plots below compare the scores of all classification models for 3 types. Surprisingly (or not!), MLP_small is the best model also for classification (apologies for it changing colours between plot…
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您好，请问ObjectFormer的--init_weight_path object_former/processed_model_weights.pth 这个weight在哪里
谢谢回复
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### Description
Given the dataset on iris flowers, predict the species of flower given the following features :
1. sepal length
2. sepal width
3. petal-length
4. petal-width
There are three …
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becomes a bug in cuda 11 pytorch 1.8 and pytorch 1.9.
It will be fixed below.
1. train.py line 236
before:
classifier = torch.nn.DataParallel(MLP([cfg.embedder.size, cfg.embedder.class_out_size…