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Vdcnn

Very Deep Convolutional Networks with Tensor Flow

Install / Use

/learn @hyperlex/Vdcnn
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

vdcnn

Based on the paper" Very Deep Convolutional Networks for Natural Language Processing "(https://arxiv.org/abs/1606.01781) in tensorflow.

Model parameters are initialized using the Xavier Glorot and Yoshua Bengio (2010) initializer: Understanding the difficulty of training deep feedforward neural networks. International conference on artificial intelligence and statistics.

Model trained and tested on a Tesla K80 gpu: - 32min per epoch - Test accuracy of 0.975 (12 epochs)

View on GitHub
GitHub Stars9
CategoryDevelopment
Updated6y ago
Forks2

Languages

Python

Security Score

70/100

Audited on Apr 26, 2019

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