Fantastic new resource on GANs from MIT, Google, and others: GAN Dissection, Visualizing and Understanding Generative Adversarial Networks.
Code, paper, website at:
https://lnkd.in/fzP79hZ
#ArtificialIntelligence #GAN #MachineLearning #AI
❇️ @AI_Python
✴️ @AI_Python_EN
Code, paper, website at:
https://lnkd.in/fzP79hZ
#ArtificialIntelligence #GAN #MachineLearning #AI
❇️ @AI_Python
✴️ @AI_Python_EN
Style-based GANs – Generating and Tuning Realistic Artificial Faces
#ML #GAN
https://bit.ly/2R5wqN2
If you like our channel, i invite you to share it with your friends
✴️ @AI_Python_EN
🗣 @AI_Python_Arxiv
#ML #GAN
https://bit.ly/2R5wqN2
If you like our channel, i invite you to share it with your friends
✴️ @AI_Python_EN
🗣 @AI_Python_Arxiv
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Beautiful Playground - #styleGAN is on Github https://github.com/NVlabs/stylegan | Yes its stunning - so is its energy consumption | i cant really tell why the environmental impacts of those emerging tech is not discussed as much as they should be | #gan #MachineLearning
❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
This person does not exist
By Philip Wang: https://lnkd.in/eEWxyYu
#GenerativeAdversarialNetworks #GAN
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv
By Philip Wang: https://lnkd.in/eEWxyYu
#GenerativeAdversarialNetworks #GAN
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv
Self Attention GAN is a image generative model which published in 2018. My project aims to generate high resolution and vivid Hearthstone cards using PyTorch. Self attention map and model training details have been visualised in tensor-board.
Repository: https://lnkd.in/fA4uMYZ
Paper: https://lnkd.in/ff6pnuj
#AI #deeplearning #GAN
#computervision
✴️ @AI_Python_EN
Repository: https://lnkd.in/fA4uMYZ
Paper: https://lnkd.in/ff6pnuj
#AI #deeplearning #GAN
#computervision
✴️ @AI_Python_EN