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I tried to use sr for mnist classification training, but the results were not good.
I hope you can help me see where I need to improve
MNIST is 28*28 images, 10 classes label.
```
using SymbolicR…
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### ❔ Any questions
Hi,
According to attack.py line 501, it seems that if I perform atk.set_normalization_used(mean=[...], std=[...]) before applying the attack, the inputs will be denormalized (b…
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Very interesting behaviour...
When
`X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.94, random_state=42)`
using only 6% to learn (with the one-hot encoded data) and 94% a…
snapo updated
10 months ago
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Hello,
I recently discovered that the MNIST inference benchmark performance for [Tsetlin.jl](https://github.com/BooBSD/Tsetlin.jl) degrades by approximately 15-16% on Julia 1.11 RC3 compared to ver…
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@lhnguyen102 I noticed that when running the MNIST example in classification.py with the FNN_BATCHNORM architecture, it runs fine on CPU but not on GPU.
Note that here I have remove the cap_factor …
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We depend on a few files hosted in a GCP project using various buckets.
Most uses can be discovered in this repo with a regex search of `https://storage\.googleapis\.com.*iree`:
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21 results …
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I failed to pass the last test case of parse_mnist.
My environment: windows 10, anaconada3, python 3.8
My codes as below:
My code snip 1:
```
(removed)
````
My code snip 2:
```
(r…
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In order to reproduce the MNIST results, could you please provide the steps and required files?
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https://github.com/liux0229/scratch/edit/master/mnist/readme.md
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Hi,
I wanted to try out your HF implementation, but cannot get it to run in your example as given in the README.md.
Even after fixing a few small errors in deep_autoencoder (272: rbm.get_cost_upda…