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GitHub / Ardawanism / Autoencoder_ML_KNTU_Spring2024

In this repo, a clean and efficient implementation of Fully-Connected or Dense Autoencoder is provided. The code alongside the video content are created for Machine Learning course instructed at Khajeh Nasir Toosi University of Technology (KNTU).

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ardawanism%2FAutoencoder_ML_KNTU_Spring2024

Stars: 1
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 57.6 KB
Dependencies parsed at: Pending

Created at: 12 months ago
Updated at: 12 months ago
Pushed at: 12 months ago
Last synced at: 3 months ago

Topics: autoencoder, autoencoder-neural-network, autoencoders, deep-learning, deep-neural-networks, machine-learning

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