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**Background**
There are 4 types of controls in the Varchamp data: transfection control, positive control (morphology), positive control (localization), and negative control (morphology). We are revi…
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https://yingzhangdut.github.io/deep-learning/2019/11/03/Deep-Metric-Learning.html
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Aim : To develop a deep learning model to detect drowsiness from EEG signals using various algorithms and compare their performance to identify the best-fitted algorithm based on accuracy scores.
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## 一言でいうと
Quoraなどの質問投稿サイトにおける類似質問を検索するシステムの提案
類似質問のペアからmetric learningする想定
実システムだとすべてのペアを網羅できるわけではないのでfalse positiveなデータが学習セットに含まれる
この影響を弱めるためにtriplet lossの代わりにsmoothed deep metric lossを提案
trip…
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hi @ohbm/project-monitors: My project is ready!'
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## Project info
to automate the evaluation of quality metrics (such as snr, cnr, fwhm, etc.) for neuroimaging data usi…
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### Feature request
I would like to propose the addition of a new learning rate scheduler that combines MultiStepLR with a warmup phase. Currently, the Transformers library does not include a sched…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Next Word Predictor using Deep Learning
:red_circle: **Aim** : To find the generate word of the given s…
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Dear repository owner,
I am reaching out to express our admiration for your repository.
I am the author who recently published a paper titled "Learning Semantic Proxies from Visual Prompts for P…
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### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
2.17.0-dev20240517
### Custom code
Yes
### OS platform and distributi…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Poultry Diseases Detection
:red_circle: **Aim** : The aim of this project is to detect the problem stat…