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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3answers
113 views

Can people use neural networks without providing the set of training data?

It seems that neural networks (NNs) can be applied to supervised learning, unsupervised learning and reinforcement learning. Some people even train neural networks without the set of training data. If ...
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3answers
43 views

Is binary classification using CNN possible if the training data only consists of one class?

Is binary classification using CNN possible if the training data only consists of one class? I am working on landslide risk assessment using Convolutional Neural Networks and I want to train a network ...
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2answers
53 views

Is creating dataset only by augmentation a bad practice?

I wonder if creating data set only by augmentation base images is a bad practice. I mean the situation when you have to train net to predict really simple patterns, for example printed-like digits. ...
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1answer
34 views

How to source training data in ML for information security?

A company entrusts a Data Scientist with the mission of processing and valuing data for the research or treatment of events related to traces of computer attacks. I was wondering how would he get the ...
1
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1answer
32 views

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 ...
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0answers
16 views

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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0answers
10 views

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 ...
3
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1answer
75 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 ...
6
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1answer
108 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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1answer
68 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 ...