MNIST dataset using different architectures: simple linear NN, autoencoder, and highway network

Oct 22, 2021 1 min read

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

GitHub

View Github

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MNIST dataset using different architectures: simple linear NN, autoencoder, and highway network

Deep Learning for image classification

Train an autoencoder

Train a classical MLP for classification

Train a Highway network for classification

GitHub

John

A free and open-source crypto miner for Linux. It uses XMRig for mining and GTK3 for GUI

Hardware-accelerated ROS2 packages for camera image processing

Deep Learning for image classification

Train an autoencoder

Train a classical MLP for classification

Train a Highway network for classification

GitHub

A free and open-source crypto miner for Linux. It uses XMRig for mining and GTK3 for GUI

Hardware-accelerated ROS2 packages for camera image processing

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