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I am encountering a `RuntimeError` related to the `einsum()` function during my project where I'm integrating the KAN model with the MNIST dataset. The error message is as follows:
Steps Leading t…
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Hi i am curious on how you generate the counterfactual examples on 4.1 MNIST (specifically digit '1'), could you explain a little bit? When I ran it, I was not able to generate the counterfactual but …
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Hello, I noticed that the knowledge control imposes a restriction on the predicted results, the knowledge control added to the N-body MNIST dataset is the law of conservation of energy, and the knowle…
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I'm testing the model provided in node-js example https://github.com/tensorflow/tfjs-examples/blob/master/mnist-node/model.js to classify images of numbers into classes 0 to 9.
It is a `tf.sequenti…
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Hello~ I have a question on different data shape to train **convlstm** model.
If the original data shape is [20, 10000, 64, 64], with the first 10 frames as input and the last 10 frames as predicti…
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Aim: Identify digits from a dataset containing handwritten images
Evaluating the performance of deep learning on the MNIST dataset containing different handwritten digits and creating a function o…
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Pull lateast code, run `cargo run --example mnist --release --features wgpu`
1. The training accuracy drops around iteration 90.
![Train MNIST 2024-01-24 174400](https://github.com/tracel-ai/burn/as…
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op=conv
auto_pad=SAME_UPPER functionality not implemented.
This is not implemented for these simple MNIST models in the Onnx Zoo:
https://github.com/onnx/models/tree/main/vision/classification/…
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Regardless of computaion, do KAN at present able perform continual learning on 2D input data (or its flattened 1d vector features)? if not what is the main challenge KAN have with it?
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我使用实例代码:
python demo/image_demo.py demo/demo.jpg configs/grounding_dino/grounding_dino_swin-t_pretrain_obj365_goldg_cap4m.py --weights /mnt/sh_flex_storage/home/wushuche/mnist-fastapi-aio-tr…