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Qalabit

14 Jun, 18:52

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Forward from: sudo jajos
https://arxiv.org/abs/1711.03705

One of the research papers I will after exams and some work related loads ...

The paper is about online deep learning -> u know the opposite of it which is offline deep learning(if ur familiar with online RL and offline RL it is analogous here).But ofc u dont need to know RL to understand there difference. So, basically the difference between these two is the offline DL is the approach where u have collected and static data then u train ur model then voila u have some learned parameters that are fixed till u have full or partial finetuning here after ... but in online DL u can update ur model on the fly and this is critical for streaming data(I think we can say for example stock price prediction perhaps), non-stationary data ...


I was about to read it because I have something in mind to research about and I will tell u after finals and work loads ... 👍

#papers #random
@sudojajos
Online Deep Learning: Learning Deep Neural Networks on the Fly
Deep Neural Networks (DNNs) are typically trained by backpropagation in a batch learning setting, which requires the entire training data to be made available prior to the learning task. This is...

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