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Questions tagged [artificial-neuron]

For questions about what constitutes an artificial neuron and how artificial neurons can be utilized as part of a neural network.

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Set model weights to preset tensor with torch

I am attempting to train a torch model with neuro-evolution. I cannot seem to be able to set weights of a model to a preset tensor. I am able to: Assign weights based on random values, ...
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What is the highest number of Hardware Neurons implemented?

The hardware-based Neural Networks seem to be a way to solve the lack of efficiency for massive data classification, pattern recognition and AI. So, at the moment, What is the maximum number of ...
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How to decide which model have to use? Simple vs Complex

I have come across the question simple model vs complex model. How to decide which one have to use? and one more question connect to this. How to decide which is a ...
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1answer
36 views

Is input normalization built-in into mammals sensory neurons?

The spectrum of human sensory inputs seems to fall within certain ranges suggesting normalization is built-in into biological NNs? It also adapts to circumstantial conditions, e.g. people living in a ...
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2answers
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How do biological neurons weights get initialized?

When trying to map artificial neuronal models to biological facts it was not possible to find an answer regarding the biological justification of randomly initializing the weights. Perhaps this is ...
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1answer
129 views

Would this formula be relevant to the field of A.I?

Background My understanding is the input neurons seem to seem to compute a weighted sum moving from one layer to another. $$ \sum_i a_i w_i = a'_{k} $$ But to compute this weighted sum the sum ...
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Since there are different types of neurons in adjacent positions in the brain's arrays, should heterogeneous layers be developed?

Below is a taxonomy of neurons. Some of these types occur in different locations in the brain, but there are adjacent neurons of varying types with clearly functional type diversity in many parts of ...
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neuralnetworksanddeeplearning.com chapter 5 problems

For http://neuralnetworksanddeeplearning.com/chap5.html , could anyone suggest: 1) how to approach the derivation of expression (123) ? 2) what constitutes value ~ 0.45 ? 3) why the need of taylor ...
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What is local consistency? Explain different types

What is local consistency? Explain different types used in AI, with the help of Sudoku example. Node Arc Path k Global Please provide detail.
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1answer
27 views

Neurological interpretation of LSTMs

I am searching for an Interpretation of LSTMs and recurrent neural Networks within Cognitive Neuroscience. Is there a mechanism in the human brain, that works analog to LSTMs? How does Long-term ...
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0answers
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How does the degree of neuronal realism affect computing in a deep learning scenario?

Neurons can be simulated using different models that vary in the degree of biophysical realism. When designing an artificial neuronal network, I am interested in the consequences of choosing a degree ...
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3answers
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Realistic models of neurons and especially implications of Rosehip neurons?

Is there research that employs realistic models of neurons. Usually the model of neuron for neural network is quite simple as opposite the realistic neuron with involves hundreds of proteins and ...
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3answers
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How to model inhibitory synapses in the artificial neuron? [Biological inspiration]

In the brain some synapses are stimulating and some inhibiting. ReLu erases that property to only stimulating once, since in the brain inhibition doesn't mean 0 output, but more precisely - negative ...
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2answers
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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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1answer
608 views

Meaning of evaluation metrics in Tensorflow

I am pretty much a beginner in Tensorflow and simply follow a tutorial. There is no problem with my code, but I have a question regarding the output ...
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0answers
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Feature set out of grayscale Images for training a neural network?

Previously I had trained a Neural Networkupon 20,000 character images. This Neural Net generally works well, it uses ...
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1answer
117 views

Back-of-the-envelope machine learning (specifically Neural-Network) calculations

I'm a mechanical engineer by training, so please forgive my ignorance in this area. There is a popular story regarding the back-of-the-envelope calculation performed by a British physicist named G. I....
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3answers
172 views

Can't find papers about Limitations of NN

Please if you know good research about limitations of neural network give me a link. There are a lot papers about expressive power of neural networks but I need researches about limitations. I know ...
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2answers
51 views

Is understanding value for different features next step for object recognition?

Once the artificially intelligent machines are able to identify objects, we might want to teach them how to value different things differently based on their utility, demand, life, etc. How can we ...
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1answer
165 views

Planning a Neural Network

I'm trying to understand how to effectively plan and write a Neural Network but running into problems with understanding how they should be written. I'm working with classification with writing a ...
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4answers
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Could a large number of interconnected tiny turing-complete computer chips be patterned across a wafer to simulate a programmable neural network?

The Intel 8080 had 4500 transistors and ran at 2-3.125 MHz. By comparison, the 18-core Xeon Haswell-E5 han 5,560,000,000 transistors and can run at 2 GHz. Would it be possible or prudent to simulate a ...
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The ANN is based on cognitrons

I'm trying to understand how to build the ANN on cognitrons, so I have read theory for that topic and found the scheme: As I got neurons are subdivided in two classes: the exciting and the inhibitory....
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1answer
59 views

Text Capturing on the Images

I want to capture text and letters on images (png, jpeg, etc.). Is it Possible Which algorithm/software can I use? Right now I am using R with the ...
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2answers
168 views

Why do we need weights when training a perceptron as an OR gate?

Without using any of Matlab's neural network tools, I'm writing a program to simulate an OR gate with a perceptron. I have seen many tutorials, but I still can't understand why we need weights to ...
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1answer
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What is the difference between Encoders and Auto-encoders in Deep Learning?

How are the layers in a encoder connected across the network for normal encoders and Auto-encoders in deep neural networks
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2answers
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Is it possible to train Neural Network incrementally?

I am fairly new to Neural Networks and have a requirement where the output classes are not defined from the start. More and more classes will be introduced later on based on incoming data. This ...
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1answer
221 views

Is the neuron adequately comprehended?

It is possible that the signal handling of a neuron is outside the engineering comprehension of the most astute of human brains, even after the relationships of inputs to outputs are statistically ...
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2answers
74 views

Different Suggestion for Estimating Number of layers in Neural Network

In this note Justin Domke says that In practice, neural networks seem to usually find a reasonable solution when the number of layers is not too large, but find poor solutions when using more than, ...
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1answer
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debugging perceptron for digital AND circuit

I was trying to code a single layer perceptron to understand binary AND: 1 1 1 0 1 0 1 0 0 0 0 0 I made up this code ...
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198 views

Are biological neurons organized in consecutive layers as well?

I'm now reading a book titled Hands-On Machine Learning with Scikit-Learn and TensorFlow and in the Chapter 10 of the book, the author writes the following: The architecture of biological neural ...
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1answer
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Neural Network training

I was trying to build an OCR system and heard about ANNs. I am weak at mathematics and statistics and couldn't stick up to reading those massive mathematical documents (research papers or ANN related ...
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1answer
48 views

Why expression of cost function divides by 2? [closed]

Here is formula for calculating cost value of single neuron: C_x = (1/2) * || y - a ||^2 why there is 1/2?
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1answer
37 views

Hardware immutability and sentience

Hardware comes in two forms, basically: immutable, such as RAM, and mutable, such as FPGAs. In animals, neurological connections gain in strength by changing the physical structure of the brain. This ...
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2answers
359 views

Neural Network learning to play Connect 4

I want to make a Connect 4 AI using machine learning but I'm a complete beginner to the topic. From what I've seen an ANN is the way to go; some phrases I've heard are "neuroevolution" and the acronym ...
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1answer
58 views

Backpropagation in Decoupled Neural Interfaces

I am attempting to create a fully decoupled feed-forward neural network by using decoupled neural interfaces as explained in the paper (https://arxiv.org/abs/1608.05343). As in the paper, the DNI is ...
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1answer
295 views

How many nodes/hidden layers are required to solve a classification problem where the boundary is a sinusoidal function?

A single neuron is capable of forming a decision boundary between linearly seperable data. Is there any intuition as to how many, and in what configuration, would be necessary to correctly approximate ...
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Which ANN can mimic biological neurons the most?

On the Wikipedia page we can read the basic structure of an artificial neuron (a model of biological neurons) which consist: Dendrites - acts as the input vector, Soma - acts as the summation ...