GitHub / MortadhaMannai / XAI-Multi-Modal-Handwriting-Analysis-with-Variational-Autoencoders-Siamese-Networks-and-MT-Learning
We analyze the handwritten AND image dataset from various writers using Variational Autoencoders, Siamese Network and then pass it through a Multi-Task Learning process to get the 15 features of the images directly. This is then used to compare the handwriting of the writers
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PURL: pkg:github/MortadhaMannai/XAI-Multi-Modal-Handwriting-Analysis-with-Variational-Autoencoders-Siamese-Networks-and-MT-Learning
Stars: 2
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 30.7 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: about 1 year ago
Topics: deep-learning, deep-neural-networks, explainable-artificial-intelligence, multitask-learning, nlp-machine-learning, xai
Funding Links https://github.com/sponsors/MortadhaMannai