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noe
  • Member for 6 years, 8 months
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55 votes
Accepted

Why are Machine Learning models called black boxes?

51 votes

Why does Keras need TensorFlow as backend?

22 votes
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What is a channel in a CNN?

21 votes
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Can BERT do the next-word-predict task?

19 votes
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GANs (generative adversarial networks) possible for text as well?

18 votes
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Why are autoencoders for dimension reduction symmetrical?

18 votes

Why do convolutional neural networks work?

17 votes

Neural Network for Multiple Output Regression

15 votes
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model.cuda() in pytorch

15 votes
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Is BERT a language model?

14 votes
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What is the difference between active learning and reinforcement learning?

14 votes
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Is (manual) feature extraction outdated?

14 votes
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Why is the decoder not a part of BERT architecture?

13 votes
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Detecting anomalies with neural network

11 votes
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what is the first input to the decoder in a transformer model?

10 votes
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Monitoring machine learning models in production

10 votes
Accepted

How pre-trained BERT model generates word embeddings for out of vocabulary words?

10 votes
Accepted

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

9 votes

Why is it wrong to train and test a model on the same dataset?

8 votes
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Why does vanilla transformer has fixed-length input?

8 votes
Accepted

Variable input/output length for Transformer

8 votes

Python vs R for machine learning

8 votes
Accepted

Is there a model-agnostic way to determine feature importance?

7 votes
Accepted

What is the purpose of setting an initial weight on deep learning model?

7 votes

What knowledge do I need in order to write a simple AI program to play a game?

7 votes
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Implementation of BERT using Tensorflow vs PyTorch

7 votes
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Proper masking in the transformer model

7 votes
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Python stemmer for Georgian

7 votes
Accepted

Why is averaging the vectors required in word2vec?

6 votes

Why is deep learning used in recommender systems?

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