Introduction to Generative Adversarial Networks with PyTorch
- 4.3
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Brief Introduction
A comprehensive course on GANs including state of the art methods, recent techniques, and step-by-step hands-on projectsDescription
Master the basic building blocks of modern generative adversarial networks with a unique course that reviews the most recent research papers in GANs and at the same time gives the learner a very detailed hands-on experience in the topic. Start by learning the very basics of how GANs work and incrementally learn more cleverly crafted techniques that enhance your models from the basic GANs towards the more advanced Progressive Growing of GANs. On the journey, you shall learn a fair amount of deep learning concepts with an adequate discussion of the mathematics behind the modern models.
Requirements
- Requirements
- Familiarity with Python Programming
- Familiarity with Deep Learning Concepts
Mustafa Qamaruddin
4.3 Raiting
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Introduction to Generative Adversarial Networks with PyTorch
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