Generative Adversarial Networks - Everything you need to know ( StyleGAN, CycleGAN, StackGAN ) скачать в хорошем качестве

Generative Adversarial Networks - Everything you need to know ( StyleGAN, CycleGAN, StackGAN )

Generative Adversarial Networks have made a huge impact in the Machine Learning industry for the last few years, and have a bright future ahead of them. In this video, we will be dissecting exactly what a GAN is and providing 3 well-known examples: StyleGAN, CycleGAN, and StackGAN. These examples are no longer state-of-the-art models, but they did help create their respective domains. Resources: Helpful Review    • But what is a neural network? | Deep learn...   - Neural Network basics    • Convolutional Neural Networks (CNNs) expla...   - Convolutional Neural Networks Research Papers https://arxiv.org/abs/1406.2661 - Original GAN Paper https://arxiv.org/abs/1812.04948 - StyleGAN https://arxiv.org/abs/1912.04958 - StyleGAN2, Improvment to StyleGAN not covered in this video https://arxiv.org/abs/1703.10593 - CycleGAN https://arxiv.org/abs/1612.03242 - StackGAN Additional Resources paperswithcode.com - Great website to find the actual state-of-the-art models https://machinelearningmastery.com/ - Helpful blog with good summaries of these papers https://www.jeremyjordan.me/ - Another great blog. Diagrams from Variational Autoencoders were taken from here Music Almost in F - Tranquillity by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/... Source: http://incompetech.com/music/royalty-... Artist: http://incompetech.com/