Learning AI with Van Gogh, Botero and Cruz‑Diez
summary
Shows how neural networks can be applied to visual art by using the paper "A Neural Algorithm of Artistic Style" as a practical starting point; covers implementing style transfer to combine the content of one image with the style of artists like Van Gogh, Botero and Cruz-Diez and explains the approach to training and using those models for artistic effects.
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chapters (16)
- 0:00Welcome
- 1:58Title and speaker
- 4:49Art in AI
- 7:15High-level ML
- 8:22Convolutional networks
- 18:442015 artistic paper
- 21:16Content vs style
- 23:26Layer technical explanation
- 28:30Live demo fail
- 29:46Cruz-Diez results
- 31:13Botero results
- 32:39Tools and frameworks
- 33:22Related research
- 34:52Fun applications
- 35:15AI art limits
- 36:41Closing and resources
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