Most courses only teach you how to train your models. This is only one I've seen that shows you how to design, train, & deploy models. All videos are available. Great resource for those struggling with the ML system design Qs in interviews too. https://fullstackdeeplearning.com/march2019

Unsupervised Disentanglement of Pose, Appearance, and Background from Images and Videos

code https://github.com/NVIDIA/UnsupervisedLandmarkLearning

paper https://arxiv.org/pdf/2001.09518.pdf

A 2020 Guide to Deep Learning for Medical Imaging and the Healthcare Industry
https://nanonets.com/blog/deep-learning-for-medical-imaging/amp/

Monkeys Wake From Anaesthetic When Brain Region Linked to Consciousness Is Stimulated
https://www.cell.com/neuron/fulltext/S0896-6273(20)30005-2

These Lyrics Do Not Exist
Lyrics generated using Artificial Intelligence
Peter Ranieri: https://theselyricsdonotexist.com
#ArtificialIntelligence #Music #NeuralNetworks

Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling
Grathwohl et al.: https://arxiv.org/abs/2002.05616
#ArtificialIntelligence #DeepLearning #MachineLearning

List of Machine Learning and Deep Learning conferences in 2020
https://tryolabs.com/blog/machine-learning-deep-learning-conferences/

The matrix calculus you need for deep learning

https://explained.ai/matrix-calculus/index.html#sec2

Lessons Learned from my Struggles in Grad School (so far)

https://www.andreykurenkov.com/writing/life/lessons-learned-from-failures/

"absolutely brilliant"
—Nobel Laureate Danny Kahneman

The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence

Gary Marcus: https://arxiv.org/abs/2002.06177

#AIDebate #DeepLearning #RobustAI

CS 287 Advanced Robotics – Fundamental Knowledge
Abbeel et al.: https://people.eecs.berkeley.edu/~pabbeel/cs287-fa19/exam/cs287-fa19-exam-study-handout.pdf
#ArtificialIntelligence #ReinforcementLearning #Robotics

Anyone here have a bio-inspired model they want to benchmark? There's a $20k Kaggle competition hosted by François Chollet:
The Abstraction and Reasoning Challenge -- Create an AI capable of solving reasoning tasks it has never seen before.
The Abstraction and Reasoning Corpus (ARC) provides a benchmark to measure AI skill-acquisition on unknown tasks, with the constraint that only a handful of demonstrations are shown to learn a complex task.
Link: https://www.kaggle.com/c/abstraction-and-reasoning-challenge/overview 😎

Neural network based finger counting technique
#deeplearning #machinelearning #ai
Abstract: https://www.ijser.org/researchpaper/Neural-Network-based-finger-counting-technique.pdf