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Hello,
First of all, thank you for your great work!
I noticed that Equinoxs' convolutional layers use _NCHW_ data format, which, according to [Nvidia Tensor Layout](https://docs.nvidia.com/deeplearn…
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By following the description of keras-yolo3, I converted yolov3.weights to keras model yolo.h5. However, the conversion from yolo.h5 to its CoreML model failed. I pasted the detailed command line outp…
xzhub updated
4 years ago
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Hello Keras-Team :),
I use Tf2.8 with tf.keras.
For a web app I need to precalculate the shapes of the layers a user is using. So I have derived formulars for nearly all layers so far. But I am st…
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Thanks for your excellent work.
Do you expand all convolutional layers of UNet to 13 channels initialized with zero weights or only expand the first convolutional layer of UNet to 13 channels? Do y…
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Does the above instruction mean that for class=1, we are to change filters to 18 in the three conv layers before each YOLO layer? Or does it mean we are to change filters to 18 in the last conv laye…
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Hello,
Thank you very much for the repository and the provided pretrained models. I have seen that you added some scripts for nnUNet v2 to run fine-tuning as well as the STUNetTrainer.
I have a da…
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## Description
When performing Resnet18 PTQ using TRT-modelopt, I encountered the following issue when compiling the model with TRT.
First off, I started with a pretrained resnet18 from torchvi…
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Google Brain open-sourced a simple impl based on FFT: https://github.com/brain-research/conv-sv/blob/master/conv2d_singular_values.py ([paper](https://arxiv.org/abs/1805.10408))
It could be a nice …
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There are three main kinds of layers in VGG Net architecture:
1. Convolutional Layers
2. Max-pooling layers
3. Fully-connected layers
Convolutional layers encode fine and coarse localized information …
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Thank you very much for your work. I've combined ResNet with Kan, using ResNet for feature extraction and replacing the linear layer with KAN for classification. Along the way, I've noticed some chara…
CYYJL updated
3 weeks ago