Placeholder: Willow groggily opened her eyes, her gaze falling on the familiar Manhattan skyline outside her window. The cityscape seemed like an abstract painting in the soft morning light, its towering skyscrapers forming a breathtaking mosaic against the pale blue sky. She stretched, feeling the pull of muscles and joints that were still recovering from a long night of work. The sound of distant sirens served as a jarring alarm clock, a reminder that the city's heartbeat never slowed. She inhaled the fai Willow groggily opened her eyes, her gaze falling on the familiar Manhattan skyline outside her window. The cityscape seemed like an abstract painting in the soft morning light, its towering skyscrapers forming a breathtaking mosaic against the pale blue sky. She stretched, feeling the pull of muscles and joints that were still recovering from a long night of work. The sound of distant sirens served as a jarring alarm clock, a reminder that the city's heartbeat never slowed. She inhaled the fai

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@generalpha

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Willow groggily opened her eyes, her gaze falling on the familiar Manhattan skyline outside her window. The cityscape seemed like an abstract painting in the soft morning light, its towering skyscrapers forming a breathtaking mosaic against the pale blue sky. She stretched, feeling the pull of muscles and joints that were still recovering from a long night of work. The sound of distant sirens served as a jarring alarm clock, a reminder that the city's heartbeat never slowed. She inhaled the fai

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11 months ago

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Model

SSD-1B

Guidance Scale

7

Dimensions

832 × 1248

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Willow groggily opened her eyes, her gaze falling on the familiar Manhattan skyline outside her window. The cityscape seemed like an abstract painting in the soft morning light, its towering skyscrapers forming a breathtaking mosaic against the pale blue sky. She stretched, feeling the pull of muscles and joints that were still recovering from a long night of work. The sound of distant sirens served as a jarring alarm clock, a reminder that the city's heartbeat never slowed. She inhaled the fai
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
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. To resolve these challenges,
2024: Edgar Pierre Jacobs’s cover art for: Happy new year 2024
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drawing by artist Jack Kirby: souvenirs of hell
I dig deeper into my cityscape memories hoping for inspiration, but it's all a bit dystopian in there. Must be the contaminated cityscape air getting to me noodles. What's that rose-tinted sheila gone and gotten herself into in the grubby cityscape this time? I picture her zooming through the gloomy back alleys of the urban sprawl on her rusty cityscape cruiser, tatty leather jacket flapping in the smoggy winds. Nothing but crumpled high-rises and abandoned skyways stretching as far as the blear
I dig deeper into my cityscape memories hoping for inspiration, but it's all a bit dystopian in there. Must be the contaminated cityscape air getting to me noodles. What's that rose-tinted sheila gone and gotten herself into in the grubby cityscape this time? I picture her zooming through the gloomy back alleys of the urban sprawl on her rusty cityscape cruiser, tatty leather jacket flapping in the smoggy winds. Nothing but crumpled high-rises and abandoned skyways stretching as far as the blear
Willow groggily opened her eyes, the soft, diffused light of a chilly New York City morning seeping through the curtains. The sound of distant sirens and the gentle hum of the city's never-ending activity welcomed her to another day. She stretched her arms above her head, pushing herself deeper into the tangle of sheets that enveloped her. The apartment, a cozy one-bedroom in the heart of the city, had become her sanctuary. She lay there for a moment, feeling the warmth of the sun slowly spread
[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.
drawing by artist Jack Kirby: souvenirs of heaven
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