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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
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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 ...
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2answers
96 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, ...
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2answers
45 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 ...
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1answer
48 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 ...
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1answer
73 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 ...
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0answers
49 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 ...
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1answer
103 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 ...
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1answer
26 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 ...
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2answers
73 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 ...
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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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1answer
28 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 ...
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0answers
51 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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Deep Q-Network concepts and implementation

How does sequential DQN work? How would one construct the simple sequential DQN? OpenAI Baselines: DQN
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3answers
144 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 ...
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3answers
88 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 ...
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2answers
96 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 (...
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0answers
27 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 ...
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0answers
52 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 ...