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1500 questions
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What is the difference between memetic algorithms and genetic algorithms?
What is the difference between memetic algorithms and genetic algorithms? Is an individual's lifetime a learning part of memetic algorithms?
Nasser
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When the AI singularity takes over, what will there be left for us to do?
Since the first Industrial revolution machines have been taking the jobs of people and automation has been a part of human social evolution for the past 3 centuries, but all in all these machines have been replacing mechanical, high-risk and…
Nathan Danzmann
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Can a technological singularity only occur with superintelligence?
In Chapter 26 of the book Artificial Intelligence: A Modern Approach (3rd edition), the textbook discusses "technological singularity". It quotes I.J. Good, who wrote in 1965:
Let an ultra-intelligent machine be defined as a machine that can far…
Left SE On 10_6_19
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How to transform inputs and extract useful outputs in a Neural Network?
So I've been trying to understand neural networks ever since I came across Adam Geitgey's blog on machine learning. I've read as much as I can on the subject (that I can grasp) and believe I understand all the broad concepts and some of the workings…
David
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How can these 7 AI problem characteristics help me decide on an approach to a problem?
If this list1 can be used to classify problems in AI ...
Decomposable to smaller or easier problems
Solution steps can be ignored or undone
Predictable problem universe
Good solutions are obvious
Uses internally consistent knowledge base
Requires…
user4856
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2 answers
Is there an ideal range of learning rate which always gives a good result almost in all problems?
I once read somewhere that there is a range of learning rate within which learning is optimal in almost all the cases, but I can't find any literature about it. All I could get is the following graph from the paper: The need for small learning rates…
Sadaf Shafi
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10
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Why is my GAN more unstable with bigger networks?
I am working with generative adversarial networks (GANs) and one of my aims at the moment is to reproduce samples in two dimensions that are distributed according to a circle (see animation). When using a GAN with small networks (3 layers with 50…
Mafu
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2 answers
What are the learning limitations of neural networks trained with backpropagation?
In 1969, Seymour Papert and Marvin Minsky showed that Perceptrons could not learn the XOR function.
This was solved by the backpropagation network with at least one hidden layer. This type of network can learn the XOR function.
I believe I was once…
S.L. Barth is on codidact.com
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What do the different actions of the OpenAI gym's environment of 'Pong-v0' represent?
Printing action_space for Pong-v0 gives Discrete(6) as output, i.e. $0, 1, 2, 3, 4, 5$ are actions defined in the environment as per the documentation. However, the game needs only 2 controls. Why do we have this discrepancy? Further, is that…
cur10us
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2 answers
How do I handle negative rewards in policy gradients with the cross-entropy loss function?
I am using policy gradients in my reinforcement learning algorithm, and occasionally my environment provides a severe penalty (i.e. negative reward) when a wrong move is made. I'm using a neural network with stochastic gradient descent to learn the…
jstaker7
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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 it is easy to use them for real-time image processing. Image processing is…
netizen
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3 answers
Are ReLUs incapable of solving certain problems?
Background
I've been interested in and reading about neural networks for several years, but I haven't gotten around to testing them out until recently.
Both for fun and to increase my understanding, I tried to write a class library from scratch in…
Benjamin Chambers
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6 answers
When will the number of neurons in AI systems equal the human brain?
Based on fitting to historical data and extrapolation, when is it expected that the number of neurons in AI systems will equal those of the human brain?
I'm interested in a possible direct replication of the human brain, which will need equal…
Tom Hale
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4 answers
What are the top artificial intelligence journals?
What are the top artificial intelligence journals?
I am looking for general artificial intelligence research, not necessarily machine learning.
user3550
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2 answers
Why are the Bellman operators contractions?
In these slides, it is written
\begin{align}
\left\|T^{\pi} V-T^{\pi} U\right\|_{\infty} & \leq \gamma\|V-U\|_{\infty} \tag{9} \label{9} \\
\|T V-T U\|_{\infty} & \leq \gamma\|V-U\|_{\infty} \tag{10} \label{10}
\end{align}
where
$F$ is the space of…
kevin
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