Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [labels]

For questions related to the labels associated with data points.

9 questions
11
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1 answer

What is the definition of "soft label" and "hard label"?

In semi-supervised learning, there are hard labels and soft labels. Could someone tell me the meaning and definition of the two things?
ellie
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3
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1 answer

When working with time-series data, is it wrong to use different time-steps for the features and target?

When working with time-series data, is it wrong to use daily prices as features and the price after 3 days as the target? Or should I use the next-day price as a target, and, after training, predict 3 times, each time for one more day ahead (using…
George
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2
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0 answers

Is soft labeling the same thing as label smoothing?

I have some data with soft labels and I am trying to figure out the best approach to solve the problem with Machine Learning (since regular classification is of the table, i.e. hard labels). However, whenever I look up "soft label" materials, I keep…
logankilpatrick
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3 answers

What is the difference (if any) between semantic segmentation and multi-class, mutually exclusive classification?

Multi-class classification is simply assigning all data points into one of up to any finite number of mutually exclusive labels. I am new to the field(s) of AI/ML and I keep hearing people use the term "semantic segmentation." I want to "translate"…
brethvoice
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1 answer

What is the intuition behind the Label Smoothing in GANs?

I was learning about GANs when the term "Label Smoothing" surfaced. In the video tutorial that I watched, they use the term "label smoothing" to change the binary labels when calculating the loss of the discriminator network. Instead of using 1,…
malioboro
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0
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2 answers

Should the range of target values match the range of activation function used in the output layer?

Suppose I use a tansig activation function in the output layer of an artificial neural network giving me outputs in the range $[-1,1]$ and my model is applied to a binary classification problem, should my target labels be -1 and 1 or 0 and 1? I've…
Rowan Barua
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1 answer

Should I label static objects on video dataset?

I'm using nvidia Transfer Learning Toolkit to detect cars in some video frames. I found some dataset (for example https://www.jpjodoin.com/urbantracker/dataset.html and https://www.kaggle.com/aalborguniversity/aau-rainsnow) and I noticed that…
Francesco Pagani
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Is it possible to flip the features and labels after training a model?

The goal of this program is to predict a game outcome given a game-reference-id, which is a serial number like…
Tetranyble
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2 answers

How do I generate video classification labels using video descriptions/titles?

I've been scanning the internet for ways to generate baseball-based labels for youtube baseball videos using text collected from a YT video's description, title, and top 50 titles, but so far, I have been unable to find a Natural Language Processing…
Ian Steffy
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