Questions tagged [neural-computing]

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What is the use of relays in Harvard mark 1 (early electromechanical computer)?

First when I came to know that Harvard mark 1 had relays I thought that the relay were used like today's transistors for the purpose of processing. But I came to know that Harvard mark 1 had 5hp ...
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1answer
50 views

If the human brain is a Turing machine then how is it able to ascertain that certain problems are undecidable? [closed]

I recently read about the idea that the human brain might be a Turing machine (or Turing complete). If that is true then how is the brain able to reason that a certain problem is undecidable for e.g. ...
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1answer
614 views

Single Layer Perceptron vs Multi Layer Perceptron

Why the single layer perceptron has a linear activation function while the Multi Layer Perceptron has a non-linear activation function ? What is the potential of the Multi Layer Perceptron respect of ...
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1answer
702 views

Analog circuits for neural networks?

Neural networks in machine learning are inherently a continuous model of computation. Yet we use digital logic circuits with floating point numbers to "emulate" this continuity. I am wondering: is ...
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1answer
250 views

Is deep learning appropriate to approximate dynamic programming problems?

I have a problem which can be completely solved using dynamic programming, but in a very intractable way (On^4, where n is around 1000). I won't get into the details of the problem since it's a bit ...
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116 views

Replace EKF by Neural Networks

I made a SLAM (Simultaneous Localization And Mapping) using Extended Kalman Filter (EKF) and it works really good, but I want to see if it works better using Neural Networks. For the EKF I used an ...
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1answer
44 views

Is it Possible to Get Maximum Weighted Input Value in a Neural Network?

Let's say that I have a standard feedforward neural network which has $M$ inputs, some number of hidden layers $N$, and a single neuron in the output. Is it possible to construct a network such that ...
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1answer
933 views

NeuroEvolution: NEAT algorithm innovation numbers

I have been reading up on the NeuronEvolution of Augmented Topologies and there's this little thing that's been bothering me. While reading Kenneth Stanley's Paper on NEAT I came on this figure here: ...
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1answer
46 views

How to model a set of categorical values in the input of a neural network

One of the inputs to my neural network is a set. I have a set $S = \{s_0, s_1, ..., s_n\}$ in which all values $s_i$ are constant. An example of such a set could be the set of French wines (...
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1answer
317 views

Architecture of a chatbot - how to organize and fetch possibilities? [closed]

I'm building a chatbot that would respond to text messages. Let's say that my chatbot works for customers of an internet provider and it can respond to the following things: Problems: About payment;...
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1answer
170 views

Predicting next action to take to reach a final state

Does anyone know of an algorithm that could be used to determine the next action to take to reach a desired state when trained on time-series data? For example, a robot starts at a certain state, ...
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1answer
45 views

Determining if my artificial neural network needs additional layers

I have implemented a neural network for load forecasting in Microsoft Excel. My structure is very simplistic and involves only 1 hidden layer and 4 neurons. (See picture) I trained my network with a ...
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1answer
44 views

How a human brain does computation after lexical analysis and parsing?

I've been trying to figure out the answer for this question. How exactly a human brain understands or computes the meaning of any sentence after doing the lexical analysis and parsing? What is the ...
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72 views

Where to start studying about HTM?

I am looking for references (pedagogic and beginner friendly!) to these two topics, hierarchical temporal memory algorithms applied to deep planning problems (multi-layer) neural networks trained ...
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1answer
410 views

What factors must one consider choosing an NN structure?

Suppose we have a classification problem and we wish to solve the problem by Neural Network. What factors must one consider choosing an NN structure? e.g Feed Forward, Recurrent and other available ...
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1k views

How many layers should a neural network have?

Are there any advantages of having more than 2 hidden layers in a Neural Network? I've seen some places that recommend it, others prove that there is no advantage. Which one is right?