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Scientific Material

The links below take you to selected deep-dreaming-related scientific material:


Books, Papers, Articles

Where We See Shapes, AI Sees Textures (2019) by Jordana Cepelewicz in Quantamagazine

Controlling Perceptual Factors in Neural Style Transfer (2017) by Leon A. Gatys et al.

Preserving Color in Neural Artistic Style Transfer (2016) by Leon A. Gatys et al.

A Neural Algorithm of Artistic Style (2015) by Leon A. Gatys et al.

Music Transformer (2018) by Cheng-Thi Anna Huang et al.

Neural Style Transfer: A Review (2017) by Yongcheng Jing et al.

R Deep Learning Projects : Master the techniques to design and develop neural network models in R (2018) by Yuxi (Hayden) Liu and Pablo Maldonado

Inceptionism: Going Deeper into Neural Networks (2015) by Alexander Mordvintsev et al.

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks by Nguyen et al.


Websites, Wikis

GitHub neural-style wiki, a comprehensive resource for making your own neural network

Gene Kogan‘s website, numerous resources, including a free online book about machine learning for artists