MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 20 lectures (2h 50m) | Size: 1 GB
Understanding the fundamentals of neural networks, convolutional neural networks, deep learning.
Master Generative Adversarial Networks (GANs) in no
Understand all the theoretical aspects in Generative Adversarial Networks (GANs)
Master the practical skills in coding the Generative Adversarial Networks (GANs)
Basic Programming experience (preferably in Python)
Basic High-school Mathematics
This course is a comprehensive guide to Generative Adversarial Networks (GANs). The theories are explained in depth and in a friendly manner. After each theoretical lesson, we will dive together into a hands-on session, where we will be learning how to code different types of GANs in PyTorch, which is a very advanced and powerful deep learning framework!
The following topics will be included:
DCGANs
LSGANs
CGANs
CoGANs
SRGANs
CycleGANs
other types of GANs
Each type will include a theoretical and practical session.
curious about data sciences, neural networks, and deep learning
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