AI, Python, Cognitive Neuroscience
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By Philip Wang: https://lnkd.in/eEWxyYu

#GenerativeAdversarialNetworks #GAN

✴️ @AI_Python_EN
❇️ @AI_Python
πŸ—£ @AI_Python_arXiv
Make music with GANs!

GANSynth is a new method for fast generation of high-fidelity audio.

🎡 Examples: https://lnkd.in/enSDBJZ
⏯ Colab: https://lnkd.in/eDt_S3w
πŸ“ Paper: https://lnkd.in/eCsZbx2
πŸ’» Code: https://lnkd.in/eN3B5xc
⌨️ Blog: https://lnkd.in/eXks33i

Join Us and Share With Your Friend

#artificialintelligence #deeplearning #generativeadversarialnetworks

✴️ @AI_Python_EN
❇️ @AI_Python
πŸ—£ @AI_Python_arXiv
Artificial intelligence: art’s weird and wonderful new medium

By Francesca Gavine, how to spend it: https://lnkd.in/eXEFkkQ

#art #artificialintelligence #deeplearning
#generativeadversarialnetworks

✴️ @AI_Python_EN
GAN Lab: Play with Generative Adversarial Networks (GANs) in your browser!

https://lnkd.in/dfiFvrc

Research paper: https://lnkd.in/eeYFK4J

#AI #ArtificialIntelligence #GenerativeDesign #GenerativeAdversarialNetworks

✴️ @AI_Python_EN
Defeats GAN: A Simpler Model Outperforms in Knowledge Representation Learning

Heng Wang & Mingzhi Mao: https://lnkd.in/eU6THn5

#MachineLearning #ArtificialIntelligence #GenerativeAdversarialNetworks

✴️ @AI_Python_EN
Deep Learning course: lecture slides and lab notebooks

Built and maintained by Olivier Grisel and Charles Ollion: https://m2dsupsdlclass.github.io/lectures-labs/

#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks #MachineLearning

✴️ @AI_Python_EN
β€œGenerative models in Tensorflow 2”

GitHub, by Tim Sainburg: https://lnkd.in/eAHD5Ew

#deeplearning #generativeadversarialnetworks #tensorflow #technology

✴️ @AI_Python_EN
SinGAN: Learning a Generative Model from a Single Natural Image

Shaham et al.: https://lnkd.in/eUWJ6Ta

#ArtificialIntelligence #DeepLearning
#GenerativeAdversarialNetworks
✴️ @AI_Python_EN