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There seems to be no problem when training my network because it converges and falls below 0.01 error. However when I load my trained network, and introduce the evaluation set, it outputs the same res…
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In you code, your implementation is **im_out = tf.real(tf.ifft2d(im_transformed))**
But due to the truncate ops, I think tf.abs(~~~) is more reasonable.
Another question is that the pooling value sc…
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Hello author, I'm sorry to bother you. I would like to ask about the length of mem_1en. I saw that your code mem_1en=128. Is this setting related to each patch_sthape? What specifically refers to the …
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Hi,
I see there are a few SDTW implementations around. I'm mainly using Keras right now, and there are a few implementations there too. The one I have used thus far is very slow to run, as I reckon…
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When training a language model (LM) with DeepSpeed's Sequence Parallel (Ulysses), it's typical to get a cross-entropy loss for each rank. To compute the gradients accurately, as [I understand it, an i…
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This suggestion was moved from Neataptic.
https://github.com/wagenaartje/neataptic/issues/54
> In order to amplify the results of neural networks on larger datasets (i.e. MNIST), we need to implem…
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Hey,
nice work! I wanted to test your network with our data, but was not able to run the test. Do you have the training/test-data somewhere (besides BOX, I don't have an account)? Or could you pro…
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https://medium.com/vithelper/spatial-and-frequency-domain-image-processing-83ffa3fc7cbc
https://homepages.inf.ed.ac.uk/rbf/HIPR2/fourier.htm
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Dear author,
Thanks for your work.
**Question 1:**
I am quite confused about your definition of the model_old. **I thought model_old should be the model from the last tasks, therefore, the numbe…
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## Loss func.으로서 CEE
- MSE : 두 **점** 사이의 **거리**
- CEE : 데이터 **확률분포** P와, P를 이용해 계산한 **확률분포** Q 간의 **차이**
Q의 확률이 1에 가까울 수록 패널티를 적게 주고,
0에 가까울 수록 패널티를 급격하게 준다
…