In this repo I will be tracking my progress on independent study. I will start with Coursera and open ai materials on GANs and RL, google scholar papers, paper on Learning by Watching: Physical Imitation, Robot Learns To Imitate Human Demonstrations Using GAN Networks by AVID etc.
GANs in Action by Jakub Langer,
Deep Learning by Ian Goodfellow and Yoshua Bengio
Weekly IS journal (Github Readme, Google Slides) and document of learning progress
Mini projects on GANs
Read one-two related papers a week
Brainstorm ideas for Spring 2022 IS project
- Weekly report on learning outcome
- Final github repo of all the assignments and projects done during the semester
- Finalize plan for Spring 2022 IS project, maintain github repo for the same
Week-1 - Basic Introduction on How GAN works
Week-2 - Batch Normalization, Pooling, Upsampling, DCGAN
Week-3 - Mode Collapse, Binary crossentropy, WGAN
Week-5 - Feature extraction and Evaluation
Week-6 - GAN Disadvantages and Bias
Week-7 - StyleGAN and Advancements
Week-8 - GANs for Data Augmentation and Privacy
Week-9 - Image-to-Image Translation with Pix2Pix
Week-10 - Unpaired Translation with CycleGAN
Week-11-14 - Project on Virtual Stylist
Paper 2 - An Introduction to Variational Autoencoders
Paper 4 - Pix2Pix and CycleGAN