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**Description:**
As we aim to make our project more cross-platform compatible, leveraging [`xtask-wasm`](https://github.com/rustminded/xtask-wasm) appears to be a viable solution.
**Objectives:*…
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The most beginner friendly AI project - handwritten digits recognition
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## 강의
- https://www.edwith.org/boostcourse-dl-pytorch/joinLectures/22155
## 목차
- Lab-06 Softmax Classification
- Lab-07-1 Tips
- Lab-07-2 MNIST Introduction
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KerasNLP is always looking for new examples on [keras.io](https://keras.io/keras_nlp) the demonstrate how to use the library.
This issue will stay open on a "contributions welcome" list forever. If…
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Dear kipf,
Have you also tried with MNIST dataset for this method?
I see this is node classification, and I wonder if this model can work with MNIST or any other of image dataset.
with cora,
A =…
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From https://github.com/htm-community/htm.core/pull/603#issuecomment-520743858
Would be nice to try some real-world validation of the encoder.
@crimsoncress is working on classification in the vis…
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What version of ONNX is supported?
I tried onnx-mlir with the ONNX 1.0 MNIST model from here [1]. It looks like every node has an undefined datatype which seems wrong and crashes the tool. If I use…
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gao@ubuntu14:~/py_work/DBN/Tensorflow_deep-belief-network-master/test$ python3 classification_MINST.py
Extracting ../dataset/MNIST_data/train-images-idx3-ubyte.gz
Extracting ../dataset/MNIST_data/t…
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Thank you very much for the code you provided.Recently, I have been studied the dataset you provided for classification. Mnist serves as the source domain data and usps serves as the target domain dat…
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Nice list at http://rodrigob.github.io/are_we_there_yet/build/classification_datasets_results.html; in addition to MNIST and CIFAR, they have
- [ ] [STL-10](https://cs.stanford.edu/~acoates/stl10/)
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