Generative adversarial networks (GANs)
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Get hands on with “a significant and fundamental advance” in AI
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Amazon announced AWS DeepComposer at re:Invent 2019; it includes tutorials, sample code, and training data that can be used to begin building generative AI ...

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Converting text to images for product discovery
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Generative adversarial networks (GANs), which were first introduced in 2014, have proven remarkably successful at generating synthetic images. A GAN ...

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Amazon scientists author popular deep-learning book
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Machine learning – a field of computer science that gives a computer the ability to learn – is changing the world. It’s being used to improve weather ...

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Teaching robots to respond to natural-language commands
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If general-purpose household robots ever become a reality, it would be nice to address them in natural language — to say to a robot, for instance, “Take the ...

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Growing generative adversarial networks, layer by layer
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Generative adversarial networks (GANs) can produce remarkably realistic synthetic images. During training, a GAN pits a generator, which produces the image, ...

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Explicit control of GAN-generated synthetic images
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In recent years, generative adversarial networks (GANs) have demonstrated a remarkable ability to synthesize realistic visual images from scratch.But ...

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Method enables better control of GAN image generators’ output
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Generative adversarial networks (GANs) are a technology that can produce remarkably realistic synthetic images. From a set of real images, a GAN learns a ...

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Automatically generating labeled training images
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Machine learning (ML) models thrive on data, but gathering and labeling training data can be a resource-intensive process. A common way to address this ...

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