Code image classification of MNIST dataset using different architectures: simple linear NN, autoencoder, and highway network

Last update: Mar 30, 2022

Overview

Deep Learning for image classification

pip install -r  http://webia.lip6.fr/~baskiotisn/requirements-amal.txt

Train an autoencoder

python3 train_autoencoder.py

Train a classical MLP for classification

python3 classif.py

Train a Highway network for classification

python3 train_highway.py

Owner

Hector Kohler

Master student in Computer Science at Sorbonne Universite. Passionate about Learning for Robotics. Want to learn more about software engineering and control.

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Code image classification of MNIST dataset using different architectures: simple linear NN, autoencoder, and highway network

Related tags

Overview

Deep Learning for image classification

Train an autoencoder

Train a classical MLP for classification

Train a Highway network for classification

Owner

Hector Kohler

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