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Trying to run bit_tf2.py training code..hitting below error when trying to run BiT-S training with below dataset
datasets, datasets_info = tfds.load('imagenette/160px', shuffle_files=True, as_super…
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For a better out-of-the-box experience
I think I should remove the shift in the encoder, GBR to RGB, rearrange the order.
These things can be done by adjusting the weight of the convolution.
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To implement the quantum versions of the classical codes, namely:
- [Quantum BCH ](https://arxiv.org/pdf/quant-ph/9910060)from BCH
- [Quantum Goppa ](https://arxiv.org/pdf/quant-ph/0501074)from G…
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@AlexeyAB hello,I am checking WongKinYiu's model as follows:
1、I downloaded CSPResNet50-PANet-SPP cfg 、weights
2、cfg was changed as follows:
[net]
# Testing
#batch=1
#subdivisions=1
# Training
…
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# Description
This issue appeared while testing `feature_args = {"class": "ScfNetwork", "size_tf": 256 // 2, "stride_tf": 10 // 2}` in a CTC setup.
An identical setup with `feature_args = {"class…
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Thank you for sharing your code. In particular, the 3D convolution part of DSFNet is effective and lightweight. When I ran the experiment on 2x NVIDIA 3090, I kept your code basically intact and train…
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I train YOLOv4-csp with resolution `384x384`,the loss is still greater than 16 after 60000 iterations,while i can get good results in YOLOv4 with `384x384`。I update the latest version of darknet,and t…
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I install NVIDIA drivers(version is 450.57),CUDA11.0,cudnn8.0.1,then I modify "GPU=1 CUDNN=1" in Makefile,But when make,a error has occurred:
./src/convolutional_layer.c: In function ‘cudnn_convolu…
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Hi all! I faced the problem of yolo v3. I trained the weights for 12000 iterations, then trimmed the partial command down to layer 74, changed max_batches to 20000 and added the line stopbackward=1 in…
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# Bayesian Convolutional Neural Network | Chan`s Jupyter
In this post, we will create a Bayesian convolutional neural network to classify the famous MNIST handwritten digits. This will be a probabili…