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Results tagged with machine-learning
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user 9863
For questions related to machine learning (ML), which is a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform other kinds of decision making under uncertainty (such as planning how to collect more data). ML is usually divided into supervised, unsupervised and reinforcement learning. Deep learning is a subfield of ML that uses deep artificial neural networks.
4
votes
2
answers
279
views
Why is dialogue a hard problem in natural language processing?
I've just started learning natural language processing from Dan Jurafsky's videos lectures. In that video, minute 4:56, he is stating that dialogue is a hard problem in natural language processing (NL …
- 1,763
1
vote
1
answer
985
views
What is the intuition behind the entropy formula used in the ID3 algorithm?
What is the intuition behind the following entropy formula used in the ID3 algorithm?
$$
\text{info}(D) = -\sum_{i=1}^m p_i \log_2(p_i)
$$
- 1,763
2
votes
2
answers
403
views
What is the difference between game theory and machine learning?
What is the difference between game theory and machine learning?
I had gone through the papers Deep Learning for Predicting
Human Strategic Behavior, by Jason Hartford et al., and When Machine Learn …
- 1,763
1
vote
0
answers
819
views
Which activation functions can lead to the vanishing gradient problem?
From this video tutorial Vanishing Gradient Tutorial, the sigmoid function and the hyperbolic tangent can produce the vanishing gradient problem.
What other activation functions can lead to the vanis …
- 1,763
1
vote
0
answers
1k
views
Find the nearest object in a image which is captured from camera?
Objective : To find the nearest object (closer distance object) in the single camera image. But Image Contains multiple objects shown below:
I searched in the net and found this formula to calcu …
- 1,763
78
votes
4
answers
110k
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Why does the transformer do better than RNN and LSTM in long-range context dependencies?
I am reading the article How Transformers Work where the author writes
Another problem with RNNs, and LSTMs, is that it’s hard to parallelize the work for processing sentences, since you have to p …
- 1,763