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Neural Painters: A learned differentiable constraint for generating brushstroke paintings
By Reiichiro Nakano https://arxiv.org/abs/1904.08410
GitHub: https://github.com/reiinakano/neural-painters/tree/master/notebooks
Colab notebooks: https://colab.research.google.com/github/reiinakano/neural-painters/
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Choy et al.: https://arxiv.org/abs/1904.08755
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Deep Learning State of the Art (2019) by lex fridman
https://youtu.be/53YvP6gdD7U @ArtificialIntelligenceArticles
In medical imaging, computer aided detection (CAD) systems are available for detection of tumors and diagnosis of diseases from images acquired by imaging modalities like CT, MRI, X-ray and ultrasound. AI techniques used in computer vision such as object detection and segmentation offer unique possibilities to help radiologists make diagnosis faster and more accurately, leading to prioritization of cases, better patient care, and reduction in cost.
DNN Architecture for High Performance Prediction on Natural Videos Loses Submodule's Abil... https://arxiv.org/abs/1904.07969
A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Ne... https://arxiv.org/abs/1904.07950
IAN: Combining Generative Adversarial Networks for Imaginative Face Generation. https://arxiv.org/abs/1904.07916
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping. https://arxiv.org/abs/1904.07319
A new deep learning model developed by NVIDIA Research can turn rough doodles into photorealistic masterpieces with breathtaking ease. GauGAN converts segmentation maps into stunning lifelike images. https://bit.ly/2ugUJtv #gaugan #nvidia #deeplearning
If you are interested in doing a PhD in Machine Learning (deep learning/deep RL) while drawing inspiration from neuroscience, consider this position https://sites.google.com/corp/view/razp/announcement