Online generated, biological, art images datasets. Explore in pattern matching and Machine Learning research. Go talk with the artists and biologists.
Suggested pathway to pattern matching architecture:
- Apply semantic segmentation relying on many levels of deepeness and size of Convolutional Neural Nets layers.
- Analysis/Visualization of Feature Maps (Neurons, Channels, Layers, Regions and so on), Semantic Dictionaries (see ref below) and apply measurements.
- Apply sequential models for sequence of coarse-grained extracted features.
- Apply Generative Adversarial model with previous model as generator.
- See the doc in the repository.
- Collective made art.
- Anny Lemos, Brazil. (Arts)
- Alexandre Magno Pimenta Jardim, Brazil. (Education, photos of insect and drawing with pencil)
- Maria José Cabral, Portugal. (Arts)
- Frei Pedro, Brazil. (Arts)
- Samples personally made by me, São Carlos Brazil (photos).
- Sebastião Salgado, Earth (Black White Photos).
- Yda, Brazil. (Mental Health activist, Medium)
- Jill Bliss Biologist https://www.jillbliss.com/nature-medleys, NOMAD OF THE SALISH SEA (photos/painting)
- Reddit forum r/EarthPorn Pictures taken by the users. (photos/high resolution)
- Adobe Behance (pop art and other) https://www.behance.net/.
- Book of Kells, evangelic art made by Celtic Monks in the sec IX (photos).
- Mental-health activists and other related drawings.
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Interpretability Building Blocks: Visualization, Semantic Dictionaries and Attribuitions.
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Semantic Segmentation
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Transfer Learning.
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Generative Adversarial Networks
- Recent technics in GANs, Overview https://medium.com/beyondminds/advances-in-generative-adversarial-networks-7bad57028032.
- https://medium.com/datadriveninvestor/a-leap-into-the-future-generative-adversarial-networks-96a780ed8ee6.
- https://medium.com/@ageitgey/abusing-generative-adversarial-networks-to-make-8-bit-pixel-art-e45d9b96cee7.
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Meta-heuristic learning
- Competitive Hebbian (associative memory) https://www.pnas.org/content/pnas/early/2019/03/27/1820458116.full.pdf. Github: https://github.com/DimaKrotov/Biological_Learning/blob/master/Unsupervised_learning_algorithm_MNIST.ipynb.
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Label/Classification Mocking (Surrogated Training Samples).
- Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks https://arxiv.org/pdf/1406.6909.pdf
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Carl Gustav Jung
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Nise da Silveira
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Humberto Maturana
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Donna Haraway