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I think there is no reason to have transfer learning work on `u`, which seems to be the case provided that `load_from`='last' which is default. I guess I could turn of transfer learning completely by …
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Hi, Henry. I've got a well trained astroNN model, but I want to do some transfer learning to make it adaptable to another survey. What I've done is remove the top dense layer of the base model and bui…
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I'm trying to use pretrained model b-1 to train the model on Places365 but the training is blocking at ~25% (accuracy). I used Imagenet auto-augment policy founded [here](https://github.com/DeepVoltai…
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Hi Andrej & Fei-fei,
I've been playing around with this and reading through the code -- many thanks for making it wonderful code to read! I was under the impression that it used pretrained word vector…
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Thank you for providing the open source :)
I would like to train with own dataset(English).
Is it possible to use transfer learning on the pre-trained model(LJ-dataset)?
I hope you can help m…
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https://9bow.github.io/PyTorch-tutorials-kr-0.3.1/beginner/transfer_learning_tutorial.html
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## 論文リンク
https://arxiv.org/abs/1707.07012
## 公開日(yyyy/mm/dd)
2017/07/21
## 概要
画像認識のモデルを作る際に、CNN の構造を特定の building block の繰り返しに限定し、その building block に関して controller RNN を使うことで構造を最適化。全体構造を最適化するの…
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Hello,
I am getting good accuracy with CondenseNet on my dataset when training from scratch, but I feel like I could boost the results if I could train from a checkpoint pretrained on ImageNet.
You …
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Hey,
Causica looks super promising, thanks for making open!
I've been playing around for a few days now trying to get a good grasp of it, and I there a couple points that are a bit unclear for me:…
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Hello,
and thank you for making your work available, its been very helpful!
I'm trying to use the pretrained model for the inria dataset on a custom dataset and continuing the training process. …