GitHub / prathamp25 / Regularisation-in-VAE-Model
Applyed regularization techniques to improvise the performance of VAE Model such as L1/L2 Regularization (Weight Decay), Dropout, Batch Normalization, Beta-VAE (Modified KL Divergence Term), Data Augmentation
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PURL: pkg:github/prathamp25/Regularisation-in-VAE-Model
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Language: Jupyter Notebook
Size: 317 KB
Dependencies parsed at: Pending
Created at: 5 months ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 4 months ago
Topics: batchnormalization, compression, encoder, gan, neural-network, regularization, vae