The Math Behind Generative Adversarial Networks Clearly Explained!
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Hello, people from the future! Welcome to Normalized Nerd! I love to create educational videos on Machine Learning and Creative Coding. Machine learning and Data Science have changed our world dramatically and will continue to do so. But how do they work? What really happens behind the curtains?... Start learning with me by subscribing to this channel ❤
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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 For more videos please subscribe - http://bit.ly/normalizedNERD Support me if you can ❤️ https://www.paypal.com/paypalme2/suji04 https://www.buymeacoffee.com/normalizednerd 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 Facebook - https://www.facebook.com/nerdywits/ Instagram - https://www.instagram.com/normalizednerd/ Twitter - https://twitter.com/normalized_nerd
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