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GitHub / Nanangk / Deep_Autoencoder_Implementation_with_Keras

This project aim to implementation of Deep Autoencoder with Keras, this project use fashion mnist dataset from keras Fashion mnist is a dataset of 60,000 28x28 grayscale images of 10 fashion categories, along with a test set of 10,000 images. This dataset can be used as a drop-in replacement for MNIST.

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

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 274 KB
Dependencies parsed at: Pending

Created at: almost 5 years ago
Updated at: almost 5 years ago
Pushed at: almost 5 years ago
Last synced at: about 2 years ago

Topics: autoencoders-fashionmnist, deep-learning, naural-network

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