Questions tagged [neural-networks]
The neural-networks tag has no summary.
44 questions
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How do AI developers for LLM fix bugs when the LLM misbehaves, given that they cannot control what the LLM learns from the data?
The traditional non AI software with if-then-else and loop statements can be fully controlled. In contrast, machine learning software behaviour is unpredictable since the developer cannot control what ...
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3
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1
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Is the output of all kinds of machine learning models binary or can the end values be interpreted in other ways?
I'm just wrapping my head around the topic and building a simple neural network from scratch as I go. I'm trying out different data types to hold weights, values and biases as well as different ...
- 221
-2
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1
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Can't understand activation function
I have been trying to learn neural networks from scratch
(in Python). Wherever they talk about neural networks, I don't get the meaning of activation of a neuron, and need to understand the basic ...
- 105
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1
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When to update neural network model in production?
I have a trained neural network about to go into production, and am wondering about when to update it with new data.
Say, if the "Similar questions" banner when asking a question is ...
- 23
-1
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1
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Can somone explain facebook starspace?
I have googled enough for days but i cant find a clear intuitive document about this embedding technique.
In their paper they say : We present StarSpace, a general-purpose neural embedding model that ...
-2
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1
answer
256
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Is there a way to get rid of loop for layers in a neural network
I have being learning about deep neural networks and how the increase in hidden layers give better results. but the problem that i found was we usually get rid of loops in calculations by using ...
- 111
0
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1
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204
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How to end a sentence in neural networks
I have a simple neural-network which can create new text out of words which are likely to come after a specific word.
The code lacks of comma placement and punctuation.
It also can't transform a ...
- 121
3
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1
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4k
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Distinction between AI, ML, Neural Networks, Deep learning and Data mining
I have recently started exploring the field of machine learning (ML). I think I understand the difference between ML and AI at high level, but I wanted to understand more accurately the differences ...
- 457
3
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Software design strategy for a machine learning tool that outputs a subset of the text input (Information Extraction)?
Let's say I have thousands of pdfs that are each about 30k words written in conversational English. In each of the pdfs there is a name / names of a person/people who snowboard. There are also many ...
- 39
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1
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335
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How do you evolve a neural network?
I've read about NEAT/Evolutionary Artificial Neural Networks/Genetic Algorithms.
I understand the concept of choosing the fittest neural networks and breeding them to produce another one, but how ...
- 220
2
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2
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871
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Test Driven Development for Stochastic algorithms?
this is similar, but no the same as this post, which was the closest question I could find on this. I don't even see that answer as satisfactory for the question asked in that thread let alone TDD. ...
- 1,347
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Can I train further a trained neural network only with some new character?
I would like to make a semi-automatic OCR software for offline handwritten documents, where the OCR tries to recognize the words and the user has the ability to correct the fails of the recognizer by ...
1
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1
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853
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How to have a neural network deal with a variable size input
I'm trying to write a program in Python that will take an input of a .wav (sound) file, and determine whether the user is saying "yes" or "no".
The issue is that the sound files are not always the ...
- 697
4
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1
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Double neural network architecture for starcraft AI programming endeavour
Please take a look at this AI system architecture proposal:
As you can see this is a multi-agent AI system for starcraft brood war that utilizes BWAPI AI framework, and I proposed this idea for the ...
- 43
2
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1
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329
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Creating a neural network to solve inequality
I am just testing out a simple neural network with a single neuron. To classify if a number X between 1..10 is greater than a number N. N is a constant for example N=3.
Given my input X and a ...
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