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## Prelude / Prior Work
- https://github.com/kurtzace/complete-data-science-bootcamp-excercises
- [AI notes 2023](https://github.com/kurtzace/diary2023/issues/13)
- [Other data science steps taken …
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## 🐛 Bug
When running tests for the optim module code I've been working on, occasionally some of the tests in other modules fail, and it looks as though that the repeat offenders can sometimes get …
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Thank you for this great work and I was impressed by the design before you posted it on ArXiv (I noticed this on OpenReview and I am not a reviewer).
Is it possible to directly employ the monocula…
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Following up on the discussion that took place during the kick-off meeting, an interesting point arose on the issue of which methods are best used to approximate a set of binned counts.
In the case…
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Hi,
I'm currently have 2 hidden layers, one convolutional and one fully connected, with 200 neurons each. The input are 640x120x1 images with a batch size of 8. But as soon as the training starts, the…
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- [ ] Variance -> واریانس
- [ ] Jointly-distributed random variables
- [x] Marginal density -> چگالی حاشیهای
- [ ] Covariance
- [x] Parameter -> عامل
- [x] Bias -> پیشقدر
- [x] Scalar -> اسکال…
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Thank you for this wonderful example, which helped me understanding the gradient descent implementation.
I just noticed a minor mistake:
- dW_curr = np.dot(dZ_curr, A_prev.T) / m
- db_curr = np…
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Hi, jingyi. Thanks for your code.
But I want to know what is the parameter beta? And how can I use this function to see my attentive feature? I confuse a bit, and expect you can help me.
Thanks!
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## Description
I generated calibration cache for Vision Transformer onnx model using EntropyCalibration2 method. When trying to generate engine file using cache file for INT8 precision using trte…