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# MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications #
- Author: Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andr…
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https://www.freecodecamp.org/news/an-intuitive-guide-to-convolutional-neural-networks-260c2de0a050/
https://www.unite.ai/what-are-convolutional-neural-networks/
http://www.wildml.com/2015/11/und…
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related paper
|摘要|
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|We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing power (e.g.…
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|id|title|author|year|
|---|---|---|---|
|406|Deep Multi-Scale Convolutional Neural Network for Dynamic Scene Deblurring|Nah, Seungjun and Hyun Kim, Tae and Mu Lee, Kyoung|2017|
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# Convolutional Neural Networks From Scratch on Python - Quassarian Viper
Contents
[https://q-viper.github.io/2020/06/05/convolutional-neural-networks-from-scratch-on-python/](https://q-viper.github…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Separating text from image :
:red_circle:Aim of the project is to provide users with a code that can help them take out t…
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Institute: Ian Reid
URL: https://arxiv.org/pdf/1711.00205.pdf
Interest: 2
Keyword: LowBit, efficientNN, quantization
#progressive precision quantization
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
- Deep learning techniques are leveraged in pseudo-papilledema detection by training…
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# Market Prediction with ETFs & Convolutional Networks - Data & The World
An attempt at predicting the direction of the Dow Jones Industrial Average with ETFs and convolutional neural networks.
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