se-Networks-to-Classify-Real-Vs-Forged-Signatures
所属分类：人工智能/神经网络/深度学习
开发工具：Jupyter Notebook
文件大小：2225KB
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上传日期：2020-11-03 13:58:37
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sh-1993
说明： 使用暹罗神经网络来实现少镜头学习过程，以实现惊人的97%的分类精度...
(Using Siamese Neural networks to implement few shot learning process to achieve an amazing 97% accuracy in classifying real vs forged signatures.)
文件列表:
Challenge4_KrishnaReddy_Tejas.pdf (1717212, 2020-11-03)
SiameseNetwork.ipynb (1284016, 2020-11-03)
# Siamese-Networks-to-Classify-Real-Vs-Forged-Signatures
Using Siamese Neural networks to implement few shot learning process to achieve an amazing 97% accuracy in classifying real vs forged signatures.
The dataset to achieve this classification can be downloaded from
```
https://drive.google.com/drive/folders/1tBBkoi5z9We1XF7Polfjmbhk8UCDQMTJ?usp=sharing
```
For any doubts, improvisations - feel free to contact myself @ tejastk.reddy@gmail.com
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