Questions tagged [training-datasets]

For questions related to the dataset used to train machine learning models, such as neural networks. The training dataset is different from the validation and test datasets, which are used for early stopping (and/or hyperparameter optimization) and to test the final model's performance, respectively.

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How to split data for meta learning

I've been trying to understand the meta-learning paradigm, more precisely the optimization based models such as MAML but I have a hard time understanding how I should correctly split my data to train ...
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Why doesn't U-Net work with images different from the dataset?

I have implemented a U-Net, similar to this implementation, but for a different dataset, this one, to segment roads. It works fine using the test folder images, but, for example, when I pick a print ...
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Dividing datasets to reveal opposing signals

I have a set of data to train with comprising of 100 elements, 50 of which support theory A, and 50 support theory B. It turns out that both theories are valid, but the signal that A is valid is the ...
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74 views

How do I select the (number of) negative cases, if I'm given a set of positive cases?

We were given a list of labeled data (around 100) of known positive cases, i.e. people that have a certain disease, i.e. all these people are labeled with the same class (disease). We also have a much ...
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100 views

During neural network training, can gradients leak sensitive information in case training data fed is encrypted (homomorphic)?

Some algorithms in the literature allow recovering the input data used to train a neural network. This is done using the gradients (updates) of weights, such as in Deep Leakage from Gradients (2019) ...
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64 views

What are “development test sets” used for?

This is a theoretical question. I am a newbie to artificial intelligence and machine learning, and the more I read the more I like this. So far, I have been reading about the evaluation of language ...