GitHub - hamedrq7/Unsupervised-Visual-Feature-Learning-with-DCGAN-and-AE: Using Deep Convolutional GAN's discriminator and Encoder of AE as a feature extractor to classify DomainNet images with a random forrest (the "real" domain))

Trained a Deep Convolutional GAN and a Denoising AE on a multi-domain image dataset.
Used the Discriminator of GAN and the encoder of AE as a feature extractor for classification.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
exploring_data		exploring_data
AE Exps.ipynb		AE Exps.ipynb
AE.py		AE.py
AE_models.py		AE_models.py
DCGAN Exps.ipynb		DCGAN Exps.ipynb
DCGAN.py		DCGAN.py
GAN_models.py		GAN_models.py
NN_HW4 Report-9812762418-HamedMohammadzadeh.pdf		NN_HW4 Report-9812762418-HamedMohammadzadeh.pdf
README.md		README.md
TSNE cifar10 explore.ipynb		TSNE cifar10 explore.ipynb
data_utils.py		data_utils.py
extract_domainnet_groups.ipynb		extract_domainnet_groups.ipynb
features TSNE.jpg		features TSNE.jpg
raw images tsne.png		raw images tsne.png
utils.py		utils.py

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