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> PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use, efficient, flexible and scalable deep learning platform, which is originally developed by Baidu scientists and engineers for the …
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**Description:**
The rapid advancement of AI has led to the widespread application of deep learning models across various fields. However, the resource demands for model inference tasks can fluctua…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Fashion Sense Detector
:red_circle: **Aim** : The of this project to develop a model which is capable …
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### Idea Contribution
- [X] I have read all the feature request issues.
- [X] I'm interested in working on this issue
- [X] I'm part of GSSOC organization
### Explain feature request
Deep Learning …
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# Transfer Learning with EfficientNet for Image Regression in Keras - Using Custom Data in Keras - Python Tutorials for Machine Learning, Deep Learning and Data Visualization
This tutorial teaches yo…
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# Pruning Convolutional Neural Networks for Resource Efficient Inference #
- Author: Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz
- Origin: https://arxiv.org/abs/1611.06440
-…
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## タイトル: サブサンプリング層を持つディープネットは、テスト時に有用な活性化を意図せずに破棄してしまう
## リンク: https://arxiv.org/abs/2410.01083
## 概要:
サブサンプリング層は、深層学習において、活性化マップの一部を破棄して空間次元を削減することで重要な役割を果たし、深層学習モデルが高レベルな表現を学習することを促します。この考えとは逆に、…
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### Description
When running SAM2 (Segment Anything Model 2) for multiple videos sequentially, I've noticed that the GPU memory remains occupied even after processing a video. This prevents the effic…
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## Location
* Remote
## Salary Expectation
* upto $15.000
## Requirements
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field. A Master's or Ph.D. degree …