Placeholder: stacked books for sale in a very modern and futuristic looking library stacked books for sale in a very modern and futuristic looking library

@vali

Prompt

stacked books for sale in a very modern and futuristic looking library

1 year ago

Generate Similar

Explore Similar

Model

Kandinsky 2.2

Guidance Scale

7

Dimensions

4992 × 3328

Similar

Make the plants less chaotic and detailed
straight orthographic view of the flat side of a cyberpunk office building at night photographic
Data selection and cleaning are essential in reducing parameters in a model, especially in neural networks. Selection focuses on relevant and representative samples, reducing dataset size and mitigating overfitting. Cleaning removes noise and inconsistencies, improving data quality and model performance. By selecting informative data, we achieve similar or better results with fewer parameters. Cleaning further simplifies the problem space, reducing dimensionality and improving computational effi
A large, international, electronically advanced university, at night, in corridors
futuristic building outside night
A finance website with a modern and sleek design to convey trust and confidence::4.3 fluorescent::0.5 wide angle lens::1.7 Piet Mondrian::1.2 ultramodern::1.5 teal::1.1 --ar 4:3 --v 5
Rendering Architecture with wood
a multicolored skyscraper on a black background, polycount contest winner, generative art, 1 6 6 7. mandelbulb 3 d, 8 k vertical wallpaper, cellular automata, multi-layered artworks, totem 2, 1 2 - bit, hyperrealistic symmetrical 8k, generative designpostprocessed
large room on the top floor of the building, with large windows through which you can see the city's skyscrapers. diaphanous, only with columbas holding up the roof
se vincula con la necesidad de transparencia y honestidad en la arquitectura para evitar fallos estructurales.
A large, international, electronically advanced, beautiful library full of books at night
[mahematics] In the context of universal approximation, two approaches can achieve similar results but with different parameter requirements. The overall system comprises data, architecture, and a loss function, interconnected by a learning procedure. Responsibilities within the system include acknowledging noisy or biased data, addressing the need for a large number of parameters in the architecture, and overcoming the principal-agent problem in the choice of the loss function.

© 2025 Stablecog, Inc.