Downtown Phoenix Diablo News

Stanton declares Phoenix Diablo ‘fake news’ chikfila_front

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asulines_thumb Jobot Coffee announces partnership with Taylor Place Starbucks, changes name to ‘Jo-Bucks’

Jobot Coffee and Diner announced plans to move into ASU’s Taylor Place Starbucks.
Read story UPDATE 4/1

asulines_thumb Developers: Triangle Records Building was ‘alternative construction’
Community members were enraged by the partial demolition of the Triangles Records and Tapes building. Read story UPDATE 4/1
shipping_thumb USGD president accuses administration of wiretapping in unopposed election
The accusations come during an election in which Dangremond had no opponent. Read story UPDATE 4/1
RYANBOYD_thumb Breitbart co-founder Steve Bannon headlines Must See Monday
Bannon will be joining the Cronkite School for the 2017-2018 school year as an ethics professor. Read story UPDATE 4/1
 
jobot_thumb Central Avenue to be converted into bike lane
Phoenix is taking steps to make the streets more bike friendly. Read story UPDATE 4/1
sataniccityhall_thumb Reconstructed: March Sadness Reconstructed is a podcast that isolates and divides the community.
Read story UPDATE 4/1
vintage_thumb Downtown Angels: C.I.R.C.U.S. helps clowns, entertainers downtown
Nonprofit supports clowns’ self-esteem in the face of declining public opinion. Read story UPDATE 10/31

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  14. Neural Network Draws Dogs: Unleashing the Artistic Potential of AI

    Introduction

    In recent years, the field of artificial intelligence has witnessed tremendous advancements in image generation, thanks to the application of neural networks. Among these marvels is the remarkable ability of neural networks to draw dogs and create stunningly realistic artwork. This article delves into the fascinating world of how neural networks, specifically Generative Adversarial Networks (GANs) and Deep Convolutional Neural Networks (DCGANs), are employed to generate awe-inspiring images of our four-legged friends.

    The Power of Generative Adversarial Networks (GANs)

    Generative Adversarial Networks (GANs) are a class of artificial intelligence models consisting of two neural networks – the generator and the discriminator. The generator is responsible for creating images, while the discriminator’s role is to distinguish between real and generated images. The two networks are pitted against each other in a “game,” where the generator aims to produce realistic images that can fool the discriminator, while the discriminator endeavors to become more adept at recognizing real images from the generated ones.

    Training a GAN to Draw Dogs

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