pytorch_resnet_cifar10
pytorch-image-models
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| pytorch_resnet_cifar10 | pytorch-image-models | |
|---|---|---|
| 1 | 1 | |
| 1,133 | 24,897 | |
| - | - | |
| 0.0 | 10.0 | |
| about 1 year ago | about 1 year ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | Apache License 2.0 |
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pytorch_resnet_cifar10
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Trained a ResNet110 in Pytorch for multioutput classification, but the predicted values are out of range, what can be the reason?
I made some changes to this repo codes and trained a ResNet32 for 1 epoch to test if the script is working, then trained a ResNet110 for 200 epochs. the range of values for output A is [0,1] and output B is [0, 4] in the training dataset. The trained ResNet32 model predictions were within the proper range but the ResNet110 output range went negative or something like 15.324 (way beyond 4).
pytorch-image-models
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good computer vision or deep learning projects in github
PyTorch Image Models (timm) (GitHub: https://github.com/rwightman/pytorch-image-models) is a library of deep learning models and utilities in PyTorch, including popular models like ResNet and EfficientNet.
What are some alternatives?
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examples - TensorFlow examples
OpenCV - Open Source Computer Vision Library
models - Models and examples built with TensorFlow
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