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Something like imagenet, or maybe U-Net has pre-trained models. Basically, transfer learning would greatly reduce the training time, making training on Colab a realistically pleasant experience.
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During Array API adoption and from conversations with SciPy devs, I've seen attempts to dispatch to underlying libraries for compute. For example: https://github.com/scipy/scipy/pull/20772. The motiva…
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# Plan for Deep Learning in .NET
This past year we've been working on our plan for deep learning (DL) in .NET which is outlined in this issue below.
We came up with this plan by looking at recen…
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Dear author, according to the dataset link you provided, it has expired. Can you share the latest link with me? And when I run transfer/train_3DCNN_v2.py, I get the error: FileNotFoundError: [Errno 2]…
WSS44 updated
5 months ago
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I get an error when I change from gpt to gpt2 in the interactive.py file.
However, when I change from gpt to gpt2 in the train.py file, everything is fine.
The error I get:
File "/transfer-lear…
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many materials science ML models are written with Pytorch instead of Tensorflow.
If not, what can we do?
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calculer l'accuracy avec VGG (comme dans [Retinal OCT Images - VGG16 Transfer Learning](https://www.kaggle.com/code/obulisainaren/retinal-oct-images-vgg16-transfer-learning/data) ) versus ResNet
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## 🚀 Feature
Right now, `module.load_state_dict(strict=False)` allows the following:
* loading a dict with missing parameters
* loading a dict with more parameters than needed
And it returns an …
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The episode with Soumith Chintala is ready to be added to the gallery page, the repository page, and an individual page for the episode.
**Episode description**
There’s no need to bury the lead he…
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I am currently on step 3.2 of 06. PyTorch Transfer Learning. When I try to run this code on a Colab notebook:
```
weights = torchvision.models.EfficientNet_B0_Weights.DEFAULT # .DEFAULT = best avail…
jdrp updated
10 months ago