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user3668129
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0 votes
1 answer
126 views

What is the right Pytorch RNN implementation?

0 votes
1 answer
47 views

The meaning of P and degree of freedom in T-Test

1 vote
1 answer
159 views

Why VAE Encoder outputs log variance and not standard deviation?

0 votes
0 answers
19 views

Feature importance and classes importance

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1 answer
160 views

What can we learn from visualizing Feature Maps

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1 answer
29 views

can we use tanh activation function to detect outliers?

0 votes
0 answers
7 views

Speaker Verification models on

1 vote
3 answers
393 views

Why do neural networks with more layers perform better?

3 votes
2 answers
1k views

Does settings $\beta_1 = 0$ or $\beta_2 = 0$ means that ADAM behaves as RMSprop or Momentum?

0 votes
0 answers
20 views

how to get similar traning data for a test sample?

0 votes
1 answer
24 views

How to get the closest samples to time series dataset?

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0 answers
12 views

How to split the data for speaker verification using AAM Softmax loss?

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0 answers
9 views

How to get / calculate statistics about voxceleb2?

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0 answers
28 views

Can we use the pretrained WavLM on Portuguese?

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1 answer
80 views

What is the difference between VAD and Speaker Segmentation?

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1 answer
115 views

Are there any pre-trained non english model of deepspeech?

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1 answer
142 views

What does the ellipse in Gradient descent describes?

1 vote
0 answers
290 views

How Adam optimizer influence the learning rate? [closed]

8 votes
1 answer
1k views

Why autoencoders use binary_crossentropy loss and not mean squared error?

1 vote
1 answer
156 views

In LSTM why h_t output twice?

0 votes
1 answer
20 views

Do I need to rescale input labels before training (label values between 20..51)?

4 votes
1 answer
247 views

How FLAIR NER algorithm detects entities with typo?

1 vote
0 answers
21 views

Why FLAIR does't recognize the entire location name

0 votes
1 answer
2k views

What are the differences between bert embedding and flair embedding

1 vote
0 answers
36 views

Is there a reason not to wirk with AMP (automatic mixed precision)?

1 vote
0 answers
218 views

If the input to the autoencoder is normalized, do we need to use sigmoid on the last layer?

1 vote
2 answers
2k views

T-SNE with high number of features

2 votes
0 answers
127 views

Convolutional autoencoder - why keras example is asymmetry model?

1 vote
2 answers
62 views

What we can learn from the data if PCA scree plot bins are almost the same?

3 votes
1 answer
6k views

How batch normalization layer resolve the vanishing gradient problem?