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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.

2
votes
2answers
75 views

CNN-feature extraction

Is there any way to control the extraction of features?How to recognize what features are been learnt during training i.e relevant information is been learnt or not?
2
votes
0answers
84 views

Update of weights in Recurrent Neural Network through back propagation

How does Recurrent Neural Network updates its weights and bias through backpropagation? Is time taken into account while updating the weights of a RNN using Backpropagation through time(BPTT)?"
1
vote
2answers
1k views

Greedy best first Search Algorithm vs A* search Algorithm

Greedy best first search Algorithm take the history and then check value ans then reach to goal. In A* search Algorithm take history and also cost then calculate value then reach to goal. When we ...
7
votes
2answers
534 views

What is the difference between goal-based agent and utility-based agent?

What is main difference between goal-based agent and utility-based agent? Please, give a real world example.
1
vote
4answers
310 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 or statistics, however it is of ...
4
votes
1answer
249 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
votes
1answer
166 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
75 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 ...
2
votes
0answers
66 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?
4
votes
2answers
138 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, ...
8
votes
2answers
102 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
187 views

Can machine learning be used to pass the Turing test?

Can we say that the Turing test aims to develop machines or methods to reach human-level performance in all cognitive tasks and that machine learning is one of these methods that can pass the Turing ...
4
votes
1answer
96 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
vote
0answers
65 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
votes
1answer
403 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
votes
1answer
291 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 ...
4
votes
2answers
321 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
63 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 ...
1
vote
1answer
43 views

Analogy between reinforcement learning and web servers

I've recently come across the client-server model. From my understanding, the client requests the server, to which the server responds with a response. In this case, both the request and responses are ...
1
vote
0answers
55 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 "...
1
vote
0answers
50 views

Deep Q-Network concepts and implementation

How does sequential DQN work? How would one construct the simple sequential DQN? OpenAI Baselines: DQN
3
votes
3answers
196 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
247 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 ...
5
votes
2answers
153 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 (...
2
votes
0answers
76 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 ...
12
votes
5answers
617 views

Alternatives to the phrase “Artificial Intelligence”

I read a really interesting article titled "Stop Calling it Artificial Intelligence" that made a compelling critique of the name "Artificial Intelligence". The word intelligence is so broad that it's ...