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Great work on your recent paper! We’re excited to see continued research in this area. We wanted to share some interesting parallels with existing work that you might find valuable:
- Your main bench…
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# principle component with decorrelated
# shuffle the values of principal components:
# each sample now has its
instead of zeroing them out, independently shuffle across all data points, keep the…
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Hello,
Thanks for making a nice, easy to follow tutorial! I wanted to let you know that there are a couple of slight code differences in the Blockchain object code from the medium article and the …
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First of all, it is excellent work.
I want to do simple classification with the MNIST dataset, I tried many things but could not compile the model. How should I start?
Thanks in advance.
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@glenn-jocher I had try your example code to get tensorboard embedding projector but it didn't work.
Sorry, the last question could not reopen so I open a new same question.
Could you …
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I generated a benchmark with "class_incremental_benchmark". But 'Naive' strategy cannot be applied to this benchmark. Can you pls give me some advice?
Code as follows:
datadir = default_dataset_…
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(1)Model trained with mnist dataset. For the generated 1000 images,the classification accuracy is 100% for discriminator. For mnist test images, the classification accuracy is 99% for discriminator. G…
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input is this
![3](https://user-images.githubusercontent.com/15973504/87110699-3baa7380-c29a-11ea-8b7a-27474a8e8641.jpg)
output is this
[[1.1389684e-02 2.0757486e-04 5.4885255e-04 7.7337935e-03 8…
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**Describe the bug**
mnist-handwritten-digits-classification-experiment.ipynb script is run but the training jobs which are also configured to be a trial component is not visible in the Sagemaker Stu…
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In lava/tutorials/end_to_end/tutorial01_mnist_digit_classification.ipynb:
```python
# Run each image-inference for fixed number of steps
mnist_clf.run(
condition=RunSteps(num_steps…
p-i- updated
4 months ago