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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1answer
930 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 ...
5
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2answers
378 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 (...
4
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2answers
2k 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 ...
4
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3answers
680 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
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1answer
159 views

Can a computer conclude following philosophical concepts from a story?

Say you have to enter a story to a computer. Now the computer has to identify the philosophical concept on which the story is based, say: Was it a "self-fulfilling prophecy"? Was it an example of "...
4
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1answer
90 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 ...
3
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0answers
118 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)?"
2
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1answer
59 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 ...
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0answers
26 views

Conversational AI

I'm wondering if anyone knows about any projects that break down conversations for an AI. I'll explain what I mean - I've seen a lot of hardcoded responses, but nothing that allows an AI to break a ...
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0answers
66 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 ...
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0answers
30 views

Predator-prey models

I'm interested in studying how different bacteria interact/affect each-other in a water treatment pool. Since there total number of bacteria is limited I've found Lotka-Volterra equations which ...