Artificial Intelligence Stack Exchange

3

votes

2

answers

501

views

What is the purpose of “reshaping it into the shape the network expects and scaling it so that all values are in the [0, 1] interval.”?

modified 35 mins ago Community♦ 1

0

votes

1

answer

21

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How to identify the areas to reduce over fitting?

deep-learning convolutional-neural-networks overfitting

answered 50 mins ago naive 121

0

votes

2

answers

36

views

Automatic Transcription vs Automatic Speech Recognition

speech-synthesis

modified 2 hours ago Wahyu Bram 1

2

votes

0

answers

27

views

Intuition behind $\gamma$-discounted state frequency

reinforcement-learning

modified 2 hours ago Sherwin Chen 165

2

votes

1

answer

82

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Difficulty understanding Keras LSTM fitting data

keras lstm audio-processing

modified 5 hours ago Community♦ 1

0

votes

0

answers

2

views

Having trouble figuring out how loss was calculated for SQuAD task in BERT paper

natural-language-processing loss-functions

asked 7 hours ago SantoshGupta7 116

0

votes

1

answer

28

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What does the formula $1-\sum_i(e_i-a_i)^2$ mean in this NEAT Python API?

ai-basics math neat notation

answered 9 hours ago guest 1

2

votes

3

answers

163

views

What is the difference between encoders and auto-encoders?

machine-learning deep-learning difference autoencoders

modified 9 hours ago DrMcCleod 294

2

votes

1

answer

127

views

How to perform neural network with output constraint?

neural-networks machine-learning backpropagation

modified 11 hours ago Community♦ 1

2

votes

1

answer

41

views

Recognising common short forms of appliances used daily

natural-language-processing python

modified 12 hours ago Community♦ 1

11

votes

3

answers

6k

views

How to train a neural network for a round based board game?

training tensorflow game-ai

modified 13 hours ago DukeZhou♦ 4,107

3

votes

2

answers

97

views

Software that understands hometask in mathematics with the hometask being a text

natural-language-processing

modified 13 hours ago Community♦ 1

4

votes

1

answer

109

views

Why is the denominator ignored in the Bayes' rule?

machine-learning math naive-bayes bayes-theorem

modified 13 hours ago nbro 2,440

1

vote

1

answer

20

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Where can we use the Bayes' theorem in artificial intelligence?

applications bayes-theorem

modified 14 hours ago nbro 2,440

4

votes

1

answer

755

views

What does “death” intuitively mean in the paper “Death and Suicide in Universal Artificial Intelligence”?

research definitions agi death aixi

modified 15 hours ago nbro 2,440

6

votes

5

answers

236

views

Is there a limit to the increase of intelligence?

philosophy strong-ai agi

modified 17 hours ago nbro 2,440

2

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2

answers

411

views

Are mathematical models sufficient to create general artificial intelligence?

philosophy models agi

modified 17 hours ago nbro 2,440

11

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3

answers

573

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What is the relevance of AIXI on current artificial intelligence research?

models agi aixi

modified 17 hours ago nbro 2,440

4

votes

1

answer

141

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Is logistic regression more free from the conditional independence assumption than naive Bayes?

machine-learning logistic-regression naive-bayes

modified 17 hours ago nbro 2,440

0

votes

0

answers

20

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A few questions regarding the on-policy $\epsilon$-greedy Monte Carlo control algorithm [on hold]

reinforcement-learning rl-an-introduction monte-carlo

modified 18 hours ago nbro 2,440

2

votes

1

answer

189

views

Understanding the perceptron algorithm in the book “A Course in Machine Learning”

neural-networks machine-learning perceptron

modified 18 hours ago nbro 2,440

1

vote

0

answers

67

views

Are human brain processes, like intuition or imagination, algorithmic?

philosophy theory brain

modified 18 hours ago nbro 2,440

0

votes

2

answers

53

views

Tips for keeping the distribution of weights normal

neural-networks hardware quantification

modified 18 hours ago DuttaA 2,505

3

votes

1

answer

32

views

Variational Autoencoder task for better feature extraction

neural-networks convolutional-neural-networks unsupervised-learning autoencoders supervised-learning

modified 18 hours ago DuttaA 2,505

0

votes

1

answer

29

views

Monte-Carlo, every-visit gridworld, exploring starts, python code gets stuck in foreverloop in episode generation

python monte-carlo

modified 22 hours ago Late347 9

0

votes

1

answer

27

views

How do we classify an unrecognised face in face recognition?

image-recognition

modified yesterday Community♦ 1

7

votes

1

answer

79

views

Are there reinforcement learning algorithms that scale to large problems?

reinforcement-learning

modified yesterday Philip Raeisghasem 1,125

3

votes

3

answers

6k

views

How to “combine” two images for CNN input (classification task)?

neural-networks machine-learning convolutional-neural-networks image-recognition classification

modified yesterday Tanmay 21

1

vote

1

answer

15

views

Is it mostly the case to train with available models

training models

answered yesterday malioboro 704

2

votes

1

answer

29

views

Choosing Instance Semantic Detection

neural-networks semantics

modified yesterday Glorfindel 127

0

votes

0

answers

13

views

Detecting playing cards with a neural network

image-recognition classification getting-started

modified yesterday Philip Raeisghasem 1,125

0

votes

0

answers

14

views

How to manage 'action churn rates' in multi-agent systems?

multi-agent-systems planning

modified yesterday Philip Raeisghasem 1,125

2

votes

1

answer

36

views

+50

How important is it that the generator of a generative adversarial network doesn't take in information about input classes?

keras generative-model generative-adversarial-networks

modified yesterday Novak 121

2

votes

2

answers

39

views

Do we have cross-language vector space for word embedding?

natural-language-processing word-embedding

answered yesterday HLeb 16

1

vote

1

answer

40

views

How can we create a vector space where word spelling and pronunciation can be easily compared?

natural-language-processing word-embedding

modified yesterday Jaume Oliver Lafont 111

0

votes

0

answers

13

views

Using neuroevolution to train a 7 DOF arm: How do I choose the correct fitness function and hyperparameters?

evolutionary-algorithms neat artificial-neuron robotics

asked yesterday NetHacker 131

2

votes

1

answer

39

views

Maximum Q value for new state in Q-Learning never exists

q-learning

answered yesterday Neil Slater 6,504

1

vote

1

answer

23

views

how to benefit from previous training weights in training again to increase accuracy?

convolutional-neural-networks training keras

modified 2 days ago malioboro 704

2

votes

1

answer

46

views

Why is dot product attention faster than additive attention?

neural-networks machine-learning deep-learning attention

answered 2 days ago John Doucette 3,465

3

votes

2

answers

61

views

Difference in continuing and episodic cases in Sutton and Barto - Introduction to RL, exercise 3.5

reinforcement-learning markov-decision-process rl-an-introduction markov-chain

modified 2 days ago Philip Raeisghasem 1,125

5

votes

2

answers

115

views

Can neural networks learn to ignore an input datum?

neural-networks classification

answered 2 days ago Tanmay 21

3

votes

2

answers

85

views

How should the output layer of an LSTM be when the output are word embeddings?

natural-language-processing lstm word-embedding word2vec

modified Apr 16 at 22:42 nbro 2,440

1

vote

0

answers

32

views

How could I learn tree paths given word embeddings?

neural-networks natural-language-processing lstm word-embedding glove

modified Apr 16 at 22:41 nbro 2,440

-2

votes

1

answer

41

views

Over-exposure of certain items in content based recommendation engine

natural-language-processing word-embedding recommender-system

modified Apr 16 at 22:38 nbro 2,440

-2

votes

1

answer

98

views

I need a word database… Any qualities I should look for?

natural-language-processing word-embedding word2vec

modified Apr 16 at 22:36 nbro 2,440

1

vote

1

answer

64

views

How is the word embedding represented in the paper “Recurrent neural network based language model”?

natural-language-processing recurrent-neural-networks word-embedding papers

modified Apr 16 at 22:35 nbro 2,440

2

votes

2

answers

54

views

Intuition on how word embeddings bring information to a network

neural-networks machine-learning natural-language-processing word-embedding

modified Apr 16 at 22:32 nbro 2,440

5

votes

1

answer

44

views

Do individual dimensions in vector space have meaning?

natural-language-processing word2vec word-embedding

modified Apr 16 at 22:30 nbro 2,440

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