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Questions tagged [concepts]

Use for broad questions on the concepts used in AI and implementations. Breakdowns of subfields, methods, and sets of methods, with an emphasis on context and utility.

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4answers
230 views

Can a brain be intelligent without a body?

A more formal implication of this question is whether intelligence requires a context. On Topic This question may have little value to the fields of data science, statistics, or philosophy, however ...
4
votes
1answer
51 views

How does the Dempster-Shafer theory of evidence differ from the Bayesian reasoning under uncertainty?

Dempster–Shafer theory (wiki) Bayesian probability (wiki) How do these two methods handle uncertainty in regard to information fusion?
5
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1answer
133 views

What happens to the training data after your machine learning model has been trained?

I am completely new to all this, for the life of me I can't find the answer to this question anywhere on Google. What happens after you have used machine learning to train your model? What happens to ...
4
votes
1answer
70 views

What exactly do people mean when they say that the computer “learns” to do something?

I'm watching a youtube video where a guy is talking about how computers can learn to go from some point A to some point B. However, the way he does it is very disappointing: all he does is generate ...
1
vote
0answers
32 views

Visible and hidden units in Boltzmann machines

I have a little problem understanding the concept of visible and hidden units in Boltzmann machines. Could someone give a simple explanation of their purpose and difference from each other?
5
votes
2answers
43 views

what does “stationary” mean in the context of reinforcement learning?

I think I've seen "stationary data", "stationary dynamics" and "stationary policy", among others, in the context of reinforcement learning. What does it mean? I think stationary policy means that the ...
3
votes
1answer
39 views

Difference between state, model, and environment in reinforcement learning

In particular I would like to have a simple definition of environment and state.what are the differences between those two concepts? Also I would like to know how the concept of model relates to the ...
4
votes
2answers
110 views

Is a Multilayer Perceptron a recursive function?

I read somewhere that a Multilayer Perceptron is a recursive function in its forward propagation phase. I am not sure, what is the recursive part? For me, I would see a MLP as a chained function. So, ...
7
votes
2answers
75 views

What does it mean for a neuron in a neural network to be activated?

I just stumbled upon the concept of neuron coverage, which is the ratio of activated neurons and total neurons in a neural network. But what does it mean for a neuron to be "activated"? I know what ...
5
votes
1answer
61 views

Turing test vs machine learning

I am trying to understand if there is a fine line between Turing test and the development of Machine learning. Can we say as Turing test aims to develop machines or methods to reach human-level ...
4
votes
1answer
82 views

Reinforcement Learning (Fitted Q): Qn on Concept & Implementation

I hope to get some clarifications on Fitted Q-Learning ('FQL'). My Research So Far I've read Sutton's book (specifically, chp 6 to 10), Ernst et al and this paper. I know that ...
1
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0answers
59 views

Basic Concept of Chatbot using Wit.ai

I am trying to create a chatbot application where user can create their own bot like Botengine. After going through google I saw I need some NLP api to process user's query. As per wit.ai basic ...
6
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1answer
126 views

Artificial Intelligence and Computational Intelligence

Having analysed,reviewed quite a number of user questions inline with answers concerning AI,sometimes I understand nor take note that AI community does not try much to avoid the term computational ...
4
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1answer
67 views

Exploration Strategies for Reinforcement Learning w/ Continuous Action Space

I'm building a deep neural network to serve as the policy estimator in an Actor-Critic reinforcement learning algorithm for a continuing (not episodic) case. I'm trying to determine how to explore ...
3
votes
2answers
96 views

Is true random number generation an AI concept?

As it can be easily pointed out that true random numbers cannot be generated fully by programming and some random seed is required. On the other hand, humans can easily generate any random number ...
1
vote
0answers
61 views

Steps recognition

What AI concepts, topologies1, algorithms, or SaaS can be used to recognize a person eating a chocolate. For this question, image recognition draws from a real time feed, validating each of these ...
2
votes
1answer
35 views

analogy between reinforcement learning and webservers?

I've recently come across the client-server model , from my understanding , the client requests the server for which the server responds with a response in this case both the request and responses are ...
1
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0answers
53 views

How basically AI synthesize thinking?

In the instance like AlphaGo Zero. How N' why AlphaGo Zero's training is so stable? Compared with traditional game theory applied in Deep RN technique!? How "AlphaGo Zero" differs from "...
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0answers
36 views

Deep Q-Network concepts and implementation

How does sequential DQN work? How would one construct the simple sequential DQN? OpenAI Baselines: DQN
3
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3answers
156 views

What are neural networks?

I have recently got into AI and I am eager to learn about its concepts. In some of the information I saw about AI, there was a lot about neural networks. Neural networks seem to be (something along ...
3
votes
3answers
97 views

Why should weights of Neural Networks be initialized to random numbers?

Premise Ok, I know that this question was asked before on ai.SE, on stats.SE and also on SO. So I did my homework in checking before posting my question, but none of them has an answer that fully ...
4
votes
2answers
101 views

What do neural connection weights represent 'conceptually'?

I understand how Neural Networks work and have studied its theory well. My question is at the intricacies of Deep Neural networks and perhaps is a bit beyond common understanding (as I have been told (...
0
votes
0answers
38 views

Listen, Attend and Spell

I was reading the Listen, Attend and Spell paper and did not understand some terms/concepts. I need help with the following: what is pyramid Bidirectional LSTM and how it helps to reduce the time ...
2
votes
0answers
58 views

Performance Evaluation Metrics used in Training, Validation and Testing

Which specific performance evaluation metrics are used in training, validation and testing and why? I am thinking error metrics (RMSE, MAE, MSE) are used in validation, and testing should use a wide ...