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The Math Behind Generative Adversarial Networks Clearly Explained!

GAN is considered as one of the greatest breakthroughs in the field of Artificial Intelligence. In this video, I’ve tried my best to explain the core concepts of GANs.
#GANs #deeplearning #machinelearning

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Original paper –
https://arxiv.org/pdf/1406.2661.pdf

Some good resources
– https://towardsdatascience.com/the-math-behind-gans-generative-adversarial-networks-3828f3469d9c
– https://medium.com/analytics-vidhya/gans-a-brief-introduction-to-generative-adversarial-networks-f06216c7200e#:~:text=GANs%20consists%20of%20two%20networks,those%20in%20the%20training%20set.&text=They%20both%20work%20simultaneously%20to,audio%2C%20video%20or%20image%20files
– https://en.wikipedia.org/wiki/Generative_model

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