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Darren Cook
  • Member for 7 years, 1 month
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4 votes

Transformer model: Why are word embeddings scaled before adding positional encodings?

3 votes

Choosing best model produced from different algorithms. Metric produced by cross-validation on the train set or metric produced on the test set?

3 votes
Accepted

What reccent alternatives to LSTM are there for regression problems?

3 votes
Accepted

Why deep learning models still use RELU instead of SELU, as their activation function?

2 votes

How to make sure that the features learned by a neural network are not correlated?

2 votes
Accepted

Approximation of long sequence of layers by one layer

2 votes

Can we fine-tune a model on the same dataset which it is pretrained on?

2 votes
Accepted

Question on embedding similarity / nearest neighbor methods [SCANN Paper]

2 votes
Accepted

Is roc auc graph better than roc auc score? If yes why?

1 vote
Accepted

How to control a decision tree?

1 vote
Accepted

Feature engineering of timestamp for time series analysis

1 vote

Which ML approach is the best for huge state spaces?

1 vote

Find smooth global maximum from noisy points

1 vote
Accepted

Organising the preprocessing of a dataset that will be consumed by multiple models

1 vote
Accepted

Does multi-head attention remove the need for self-attention?

1 vote

Transformer model is very slow and doesn't predict well

1 vote

How BERT model differentiate words with different meanings?

0 votes

Types of averages when analyzing sentences

0 votes

Why are words represented by frequency counts before embedding?

0 votes

Why do the performance of DL models increase with the volume of data while that of ML models will flat out or even decrease?

0 votes

Cannot reshape array of size 12288 into shape (64,64)

0 votes
Accepted

Accuracy over different sample sizes from dataset

0 votes

Self-attention mechanism did not improve the LSTM classification model

0 votes

ROC_AUC score is higher before tuning n _neighbors for KNN

0 votes

Hyperparameter search

0 votes

Mixed language OCR