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9 votes

Can LSTM neural networks be sped up by a GPU?

answered Jul 9, 2018 at 8:20

7 votes

Accepted

Can the hidden layer prior to the ouput layer have less hidden units than the output layer?

answered Oct 19, 2020 at 10:25

7 votes

Accepted

Why is the perceptron criterion function differentiable?

answered Oct 27, 2020 at 20:29

6 votes

What kind of simulated environment is complex enough to develop a general AI?

answered May 12, 2018 at 9:43

5 votes

Accepted

How to refine K-means clustering on a data set?

answered May 9, 2018 at 9:54

3 votes

Accepted

Why is Common Lisp, Python and Prolog used in artificial intelligence?

answered Mar 9, 2018 at 18:58

3 votes

Accepted

When should we use separable convolution?

answered Oct 17, 2020 at 14:46

2 votes

How to model inhibitory synapses in the artificial neuron?

answered Aug 11, 2018 at 9:28

2 votes

How to verify classification model trained on classification dataset on a detection dataset for classification purpose?

answered Nov 14, 2020 at 12:03

2 votes

How to tell a neural network that: "your i-th input is special"

answered Oct 21, 2020 at 16:00

2 votes

Accepted

What do we mean by "infrequent features"?

answered Oct 23, 2020 at 11:53

2 votes

Accepted

Are my computations of the forward and backward pass of a neural network with one input, hidden and output neurons correct?

answered Mar 12, 2018 at 18:27

2 votes

Does k consistency always imply (k - 1) consistency?

answered Feb 18, 2018 at 16:42

2 votes

Accepted

How to mathematically/logically represent the sense of sentences like "The cat drinks milk"?

answered Feb 23, 2018 at 9:10

2 votes

Accepted

Strong AI vs Singularity - which should happen first?

answered Mar 5, 2018 at 14:36

2 votes

Accepted

Is there a naming convention for network weights for multilayer networks?

answered Mar 6, 2018 at 7:57

2 votes

Accepted

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

answered Feb 13, 2018 at 9:32

2 votes

What are the mathematical properties of natural exponential function that lead to its usefulness in artificial intelligence?

answered Feb 13, 2022 at 17:08

2 votes

Accepted

Reasoning about 2d spatial square configuration

answered Feb 6, 2022 at 21:02

2 votes

Accepted

Do neural networks, trained with backpropagation algorithm, exploit the concept of synaptic plasticity?

answered Feb 11, 2022 at 20:26

2 votes

How to deal with datasets which are not balanced?

answered Feb 13, 2022 at 11:19

1 vote

Which predictive algorithm can be used to predict a number given other numbers?

answered Feb 13, 2018 at 11:01

1 vote

Predict frequently purchased items under certain conditions with customer purchasing history data

answered Feb 13, 2018 at 16:01

1 vote

What are examples of simple problems and applications that can be solved with AI techniques?

answered Feb 16, 2018 at 20:24

1 vote

Accepted

In number classification using neural network, is training with edge image better than gray image?

answered Feb 17, 2018 at 10:13

1 vote

What makes the animal brain so special?

answered Feb 9, 2018 at 19:55

1 vote

Existing programs that find out words with same meanings

answered Feb 10, 2018 at 10:04

1 vote

Is robotic process automation related to AI/ML?

answered Feb 10, 2018 at 11:33

1 vote

Can variations in microphones used in training set and test set impact the accuracy of speech recognition models?

answered Feb 10, 2018 at 16:08

1 vote

Does replacing 3x3 filters with 3x1 and 1x3 filters improve the performance?

answered Oct 24, 2020 at 9:46

Stack Exchange Network

43 Answers

Can LSTM neural networks be sped up by a GPU?

Can the hidden layer prior to the ouput layer have less hidden units than the output layer?

Why is the perceptron criterion function differentiable?

What kind of simulated environment is complex enough to develop a general AI?

How to refine K-means clustering on a data set?

Why is Common Lisp, Python and Prolog used in artificial intelligence?

When should we use separable convolution?

How to model inhibitory synapses in the artificial neuron?

How to verify classification model trained on classification dataset on a detection dataset for classification purpose?

How to tell a neural network that: "your i-th input is special"

What do we mean by "infrequent features"?

Are my computations of the forward and backward pass of a neural network with one input, hidden and output neurons correct?

Does k consistency always imply (k - 1) consistency?

How to mathematically/logically represent the sense of sentences like "The cat drinks milk"?

Strong AI vs Singularity - which should happen first?

Is there a naming convention for network weights for multilayer networks?

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

What are the mathematical properties of natural exponential function that lead to its usefulness in artificial intelligence?

Reasoning about 2d spatial square configuration

Do neural networks, trained with backpropagation algorithm, exploit the concept of synaptic plasticity?

How to deal with datasets which are not balanced?

Which predictive algorithm can be used to predict a number given other numbers?

Predict frequently purchased items under certain conditions with customer purchasing history data

What are examples of simple problems and applications that can be solved with AI techniques?

In number classification using neural network, is training with edge image better than gray image?

What makes the animal brain so special?

Existing programs that find out words with same meanings

Is robotic process automation related to AI/ML?

Can variations in microphones used in training set and test set impact the accuracy of speech recognition models?

Does replacing 3x3 filters with 3x1 and 1x3 filters improve the performance?