Neural Networks & Deep Learning - Computer Assignment #6 - Fall 2022

University of Tehran

Q1: Deep Convolutional GAN (DCGAN)
Papers:
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- One-sided Label Smoothing (Improved Techniques for Training GANs)
- Add Noise (Towards Principled Methods for Training Generative Adversarial Networks)
Q2: AC-GAN, WGAN
Papers:
- Conditional Image Synthesis With Auxiliary Classifier GANs
- Wasserstein GAN (Arjovsky et al. 2017)

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Dataset		Dataset
HW6-Description.pdf		HW6-Description.pdf
HW6-Report.pdf		HW6-Report.pdf
NNDL_HW6_Q1_DCGAN.ipynb		NNDL_HW6_Q1_DCGAN.ipynb
NNDL_HW6_Q2_ACGAN.ipynb		NNDL_HW6_Q2_ACGAN.ipynb
NNDL_HW6_Q2_WGAN.ipynb		NNDL_HW6_Q2_WGAN.ipynb
README.md		README.md
acgan.gif		acgan.gif
dcgan.mp4		dcgan.mp4
wgan.mp4		wgan.mp4