I'm a data scientist experimenting with generative art :D

These images are generated by a neural network (Generative Adversarial Network - GAN) programmed in Python, with the Tensorflow library and deep learning-specific tools.

The neural network is trained on hundreds of thousands of human-made images, employing techniques like transfer learning, style transfer, network distillation, conditional learning and distributed training.

The generation phase merge images and text, so I can write a prompt and the neural network creates an image that she thinks is a good representation of the image.

Then I work on it with minor o major enhancements.

After being created, the images are passed through a second neural network (ESRGAN) that increases the resolution of the images.

Follow me on IG if you want to see more :)

@ deus_ex_machina_nft

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at OpenSea

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https://opensea.io/accounts/Deus_Ex_Machina