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1answer
53 views

Can neural networks modify their own weights without back-propagation and gradient descent?

Can neural networks modify their own weights without back-propagation and gradient descent?
1
vote
1answer
65 views

Is there a Hebb neural network?

Is there a Hebb neural network? What kind of functions can it implement? Or, are there multiple "Hebb networks", that is, neural networks that learn in a Hebbian fashion?
3
votes
3answers
176 views

What is an artificial neural network?

What is an artificial neural network in artificial intelligence? It is apparently used to find patterns in data and it is loosely inspired by human neural networks.
2
votes
0answers
32 views

Continuous-attractor neural network explanation

I am reading about CANN, however, I do not seem to grasp what it is. Maybe someone who has worked with it can explain it? I found out about it while reading about RatSLAM. I understand that it helps ...
1
vote
1answer
91 views

Is it a valid Deep Neural Network?

For a regression task, I have sequences of training data and if I define the layers of deep neural network to be: Layers=[ sequenceInputLayer(featuredimension) reluLayer dropoutLayer(0.05) ...
4
votes
1answer
1k views

Neural Network Cell (Node) Types

I found this nice-ish-looking diagram, but it has a wholly inadequate descriptions for each of the cell types, aside from including names. What is the definition/description of each of these cell ...
16
votes
3answers
28k views

What is the difference between a Convolutional Neural Network and a regular Neural Network?

I've seen these terms thrown around this site a lot, specifically in the tags convolutional-neural-networks and neural-networks. I know that a Neural Network is a system based loosely on the human ...
5
votes
3answers
155 views

Does any Math/Algos actually mimic human intelligence?

I've been reading about AI/Deep Learning, etc. to understand robots (i.e. Elon Musk warning). But I must be missing something... Can the entire field be summed-up in this one sentence? "Neural ...
7
votes
3answers
643 views

What do you call a machine learning system that keeps on learning?

As I understand it from this video lecture, there are three types of deep learning: Supervised Unsupervised Reinforcement All these can serve to train a neural network either only prior to its ...
2
votes
1answer
201 views

What is a state in a recurrent neural network?

I am Reading "Supervised Sequence Labelling with Recurrent Neural Networks" written by Alex Graves to try to understand LSTM networks and I am a bit confused about the equations. Specifically, what I ...
7
votes
2answers
188 views

What is the machine learning approach based on human learning?

I once came across a neural network being trained without back-propagation or genetic algorithms (or using any kind of data sets). It was based on how the human brain learns and adjusts its ...
11
votes
1answer
564 views

Are Cellular Neural Networks one type of Neural Networks?

I am researching Cellular Neural Networks and have already read Chua's two articles (1988). In cellular neural networks, a cell is only in relation with its neighbors. So its is easy to use it for ...
24
votes
2answers
811 views

How is a deep neural network different from other neural networks?

How is a neural network having the "deep" adjective actually distinguished from other similar networks?
8
votes
3answers
406 views

What is “backprop”?

What does "backprop" mean? I've Googled it, but it's showing backpropagation. Is the "backprop" term basically the same as "backpropagation" or does it have a different meaning?