(Source: https://medium.com/datadriveninvestor/neural-networks-explained-6e21c70d7818)
Links from the lecture
NeuralTalk and Walk - https://vimeo.com/146492001
https://cs.stanford.edu/people/karpathy/neuraltalk2/demo.html
https://thispersondoesnotexist.com/
https://thesecatsdonotexist.com/
https://obvious-art.com/portfolio/edmond-de-belamy/
Interview Mario Klingemann - https://www.sothebys.com/en/articles/artificial-intelligence-and-the-art-of-mario-klingemann
http://annaridler.com/mosaic-virus
Egor Kraft - Content Aware Studies https://vimeo.com/419305104
Interview Memo Akten - https://www.artnome.com/news/2018/12/13/machine-learning-art-an-interview-with-memo-akten
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Resources
https://teachablemachine.withgoogle.com/
Dan Shiffman's "A Beginner's Guide to Machine Learning with ml5.js" - https://www.youtube.com/watch?v=jmznx0Q1fP0
https://www.pyimagesearch.com/
A Beginner's Guide to Generative Adversarial Networks - https://wiki.pathmind.com/generative-adversarial-network-gan
Setup a Python Environment for Machine Learning and Deep Learning - https://towardsdatascience.com/setup-an-environment-for-machine-learning-and-deep-learning-with-anaconda-in-windows-5d7134a3db10
Real-Time WebCam Avatar DeepFake Tutorial - https://www.youtube.com/watch?v=i0XBGXnyejg
http://nvidia-research-mingyuliu.com/gaugan/
https://heartbeat.fritz.ai/machine-learning/home
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Further reading(s)
https://medium.com/datadriveninvestor/neural-networks-explained-6e21c70d7818
https://www.heatonresearch.com/content/non-mathematical-introduction-using-neural-networks
http://neuralnetworksanddeeplearning.com/index.html