AI, Python, Cognitive Neuroscience
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This is lecture 3 in the series on Wasserstein #GAN. In this lecture, basic understanding of Wasserstein Generative

Adversarial Network (WGAN) is discussed

videos


✴️ @AI_Python_EN
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FuturePose - Mixed Reality Martial Arts Training Using Real-Time 3D Human Pose Forecasting With a RGB Camera

🌎 Paper
🌎 video

#GAN

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How I developed a C.N.N. that recognizes emotions and broke into the Kaggle top 10

#GAN #facesrecognize

🌎 link

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Check out our new #GAN work on translating images to unseen domains in the test time with few example images.

Live demo
http://bit.ly/2LyW4Y3

Project page
http://bit.ly/2HbcRLf

Paper
http://bit.ly/2Ly3VVX

Video
http://bit.ly/2Va86a3
#NVIDIA

✴️ @AI_Python_EN
How to make a pizza: Learning a compositional layer-based GAN model. Or “MIT’s AI learns to Become Pizza Guru. All pizza design will soon be automated. ”
https://arxiv.org/abs/1906.02839
#gan #ai #computervision

✴️ @AI_Python_EN
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A deep learning model developed by NVIDIA Research turns rough doodles into highly realistic scenes using generative adversarial networks (GANs). Dubbed GauGAN, the tool is like a smart paintbrush, converting segmentation maps into lifelike images.

#GAN #deeplearning

✴️ @AI_Python_EN