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1500 questions
8
votes
2 answers
Using neural network to recognise patterns in matrices
I am trying to develop a neural network which can identify design features in CAD models (i.e. slots, bosses, holes, pockets, steps).
The input data I intend to use for the network is a n x n matrix (where n is the number of faces in the CAD model).…
Darren Taggart
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8
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5 answers
Is there a limit to the increase of intelligence?
Some argue that humans are somewhere along the middle of the intelligence spectrum, some say that we are only at the very beginning of the spectrum and there's so much more potential ahead.
Is there a limit to the increase of intelligence? Could it…
Pre-alpha
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8
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2 answers
Has NEAT changed in 20 years?
This algorithm is more than 20 years old, so has it changed? During this time, the prevailing ones in text generation and classification (LSTM -> Transformer) have changed, AlexNET, ResNET have appeared. But NEAT has not? If it has changed, then…
Nikolai Vorobiev
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8
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3 answers
Have capsule neural networks been used to NLP problems?
The capsule neural network seems to be a good solution for problems that involve hierarchies. For example, a face is composed of eyes, a nose and ears; a hand is made of fingers, nails, and a palm; and a human is composed of a face and hands.
Many…
Ahti Ahde
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8
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1 answer
How come that the addition of features can decrease the performance of a neural network?
I have a Remaining Useful Life (RUL) prediction problem that I want to solve. When I added two or more features as inputs to my ANN, the accuracy of my ANN has been decreased. More precisely, I've added features like RMS or KURTOSIS (or both). I was…
Aref.a
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8
votes
2 answers
How to design a neural network that gets the author name of a piece of art as input?
I'm building a neural net to predict the value of a piece of art with a wide range of inputs (size, art medium, etc.) and I would like to include the author as an input as well (it is often a huge factor in the value of a single piece of art).
My…
Vince Britz
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8
votes
2 answers
Where to publish a first article in Deep Reinforcement Learning?
What would be examples of journals that are good for a first publication in the field of Deep Reinforcement Learning?
I am in the process of writing about the research results of DQN-related algorithms.
I have 3 requirements - it should be indexed…
Evalds Urtans
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8
votes
3 answers
What are the differences between machine learning, pattern recognition and data mining?
I know a little about these subjects. I found them similar to each other. Can anybody explain the differences between them?
user10314
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8
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4 answers
Do neural network weights need to add up to one?
The idea that weights determine how much influence each input value from the current layer will have when calculating the input to the following layer reminds me of when my professors would say that our final grade for the course was broken down…
Garrett
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8
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3 answers
Why can't Lucene search be used to power LLM applications?
w.r.t. LLM applications using the RAG (retriever-augmented-generation) architecture, people have started taken it for granted that it will be powered by a vector database. e.g., see this:
The most important piece of the preprocessing pipeline, from…
morpheus
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8
votes
2 answers
Are there any algorithms that can measure the concept similarity between texts?
Are there any algorithms (or software libraries) that can be used to detect the similarity of concepts in text, regardless of articulation, grammar, synonyms, etc.?
For example, these phrases:
Outside, it is warm.
Outside, it is hot.
Outside, it is…
omega
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8
votes
3 answers
How do I know if my backpropagation is implemented correctly?
I'm working on an implementation of the backpropagation algorithm for a simple neural network, which predicts a probability of survival (1 or 0).
However, I can't get it above 80%, no matter how much I try to set the right hyperparameters. I suspect…
Damian Matkowski
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8
votes
2 answers
Is GPT-4 based on GPT-3 or was it trained from the scratch?
To me it looks like GPT-4 is based on GPT-3.
On the other hand, there were rumors that training of GPT-3 was done with errors, but re-train was impossible due to the costs.
Anixx
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8
votes
4 answers
OpenAI ChatGPT gives a network error at long responds. How can I fix it?
When OpenAI's ChatGPT replies with a very long answer, it will return a network error. When you check the network console, the POST request will fail with a ERR_HTTP2_PROTOCOL_ERROR:
The time of the "crash" is around 1 minute.
Lars Flieger
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8
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1 answer
How can an Artificial Intelligence system be ethically trained to generate art?
There have been a lot of popular AI-generating image systems put out recently, with such systems as Midjourney and Dall-E catching attention with how well put-together many of the automatically generated images are.
However, there has been a lot of…
Mithical
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