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If you missed Yoshua Bengio's seminar at the IBM ResearchDistinguished Speaker Series about what AI can bring as solutions to the COVID-19 pandemic, you can now watch it.

https://event.on24.com/wcc/r/2519898/5562091F9015C21C735A4DEE0CBAC2F1
Deriving Differential Target Propagation from Iterating Approximate Inverses
Yoshua Bengio : https://arxiv.org/abs/2007.15139
#ArtificialIntelligence #DeepLearning #MachineLearning
We are pleased to share the conferences of the Neural Backpropagation Workshop that took place at Mila in December 2019. Talks by Yoshua Bengio, Irina Rish, Blake Richards and Gaël Varoquaux.
https://www.youtube.com/playlist?list=PLvSH07QabjqbUt-YrQaVgXeUpUteOEfiW
Analyses of Deep Learning (STATS 385)
Stanford University, Fall 2019 : https://stats385.github.io/lecture_videos
#ArtificialIntelligence #DeepLearning #MachineLearning
COURSE

CMSC 828W: Foundations of Deep Learning
http://www.cs.umd.edu/class/fall2020/cmsc828W/
We’re excited to announce that our Generative Adversarial Networks Specialization will launch on September 30!

Sign-up to be notified of upcoming course launches: https://hubs.ly/H0vLtPB0
Can Single Neurons Solve MNIST? The Computational Power of Biological Dendritic Trees
Ilenna Simone Jones, Konrad Paul Kording : https://arxiv.org/abs/2009.01269
#Neurons #DeepLearning #Cognition