Info Ops Officer Offers Artificial Intelligence Roadmap « Breaking Defense - Defense industry news... http://bit.ly/2udlmld #ai #ml #dl
Machine Learning Engineer (AI/Robotics) Job in San Jose, CA | Jobspring Partners http://bit.ly/2v62yAA #ai #ml #dl
Human pose estimation for care robots using deep learning http://bit.ly/2v8Fotk #ai #ml #dl article: http://www.sciencedirect.com/science/article/pii/S0031320317302285
MIT researchers can now track artificial intelligence's decisions back to single neurons — Quartz http://bit.ly/2ufjsjQ #ai #ml #dl
#خبر
Artificial intelligence helps scientists map behavior in the fruit fly brain | Science | AAAS http://bit.ly/2sUrRox #ai #ml #dl
Artificial intelligence helps scientists map behavior in the fruit fly brain | Science | AAAS http://bit.ly/2sUrRox #ai #ml #dl
Neuroevolution: A different kind of deep learning - O'Reilly Media http://bit.ly/2udP3BW #ai #ml #dl https://t.me/ArtificialIntelligenceArticles
Philips Jobs - Research Scientist (m/f) Machine Learning / Medical Systems & Solutions in Hamburg... http://bit.ly/2vuP3eN #ai #ml #dl
Clever Camera App Uses Deep Learning to Perfectly Retouch Your Photos Before You Take Them http://news.mit.edu/2017/automatic-image-retouching-phone-0802 #ai #ml #dl
چشم انداز ناسا در مورد یادگیری عمیق
#NASA Perspectives on #DeepLearning
http://goo.gl/alerts/UHwBA
#ArtificialIntelligence #IntelligenceArtificielle #AI #DL #Surveillance
#NASA Perspectives on #DeepLearning
http://goo.gl/alerts/UHwBA
#ArtificialIntelligence #IntelligenceArtificielle #AI #DL #Surveillance
Deep Learning Models are Predicting and Diagnosing Alzheimer’s Disease with Neuroimaging
Alzheimer’s disease remains one of the most challenging diseases to recognize in its early stages. It often takes an experienced clinician to make a proper diagnosis. As there are only some identifying factors for the disease, finding new methods that could be used for creating a diagnosis comes down to future technology in the medical field.
https://www.marktechpost.com/2018/11/27/deep-learning-models-are-predicting-and-diagnosing-alzheimers-disease-with-neuroimaging/
#deeplearning #dl #alzheimers
https://t.me/ArtificialIntelligenceArticles
Alzheimer’s disease remains one of the most challenging diseases to recognize in its early stages. It often takes an experienced clinician to make a proper diagnosis. As there are only some identifying factors for the disease, finding new methods that could be used for creating a diagnosis comes down to future technology in the medical field.
https://www.marktechpost.com/2018/11/27/deep-learning-models-are-predicting-and-diagnosing-alzheimers-disease-with-neuroimaging/
#deeplearning #dl #alzheimers
https://t.me/ArtificialIntelligenceArticles
MarkTechPost
Deep Learning Models are Predicting and Diagnosing Alzheimer's Disease with Neuroimaging | MarkTechPost
Deep Learning Models are Predicting and Diagnosing Alzheimer’s Disease with Neuroimaging. Alzheimer’s disease remains one of the most challenging diseases
Neural network that turns sketches into realistic photo.
Paper is called «Semantic Image Synthesis with Spatially-Adaptive Normalization».
#CVPR19 oral paper on a new conditional normalization layer for semantic image synthesis #SPADE and its demo app #GauGAN
ArXiV: https://arxiv.org/abs/1903.07291
Website: https://nvlabs.github.io/SPADE/
#GAN #CV #DL
Paper is called «Semantic Image Synthesis with Spatially-Adaptive Normalization».
#CVPR19 oral paper on a new conditional normalization layer for semantic image synthesis #SPADE and its demo app #GauGAN
ArXiV: https://arxiv.org/abs/1903.07291
Website: https://nvlabs.github.io/SPADE/
#GAN #CV #DL
arXiv.org
Semantic Image Synthesis with Spatially-Adaptive Normalization
We propose spatially-adaptive normalization, a simple but effective layer for synthesizing photorealistic images given an input semantic layout. Previous methods directly feed the semantic layout...
Website using Deep Learning to colorize pictures.
Link: https://colourise.sg/#colorize
#DL #CV #demo
Link: https://colourise.sg/#colorize
#DL #CV #demo
Using AI to generate recipes from food images
Facebook developed image 2 recipe architecture.
Paper: https://research.fb.com/publications/inverse-cooking-recipe-generation-from-food-images/
Code: https://github.com/facebookresearch/inversecooking
Link: https://ai.facebook.com/blog/inverse-cooking/
#CV #DL
Facebook developed image 2 recipe architecture.
Paper: https://research.fb.com/publications/inverse-cooking-recipe-generation-from-food-images/
Code: https://github.com/facebookresearch/inversecooking
Link: https://ai.facebook.com/blog/inverse-cooking/
#CV #DL
Meta Research
Inverse Cooking: Recipe Generation from Food Images - Meta Research
People enjoy food photography because they appreciate food. Behind each meal there is a story described in a complex recipe and, unfortunately, by simply looking at a food image we do not have access to its preparation process. Therefore, in this paper we…
Free «Advanced Deep Learning and Reinforcement Learning» course.
#DeepMind researchers have released video recordings of lectures from «Advanced Deep Learning and Reinforcement Learning» a course on deep RL taught at #UCL earlier this year.
YouTube Playlist: https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs
#course #video #RL #DL
#DeepMind researchers have released video recordings of lectures from «Advanced Deep Learning and Reinforcement Learning» a course on deep RL taught at #UCL earlier this year.
YouTube Playlist: https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs
#course #video #RL #DL
Head animation from single shot by #SamsungAI team
Samsung researchers have released a model that can generate faces in new poses from just a single image/frame (for each of face, pose). Done by building a well-trained landmark model in advance & one-shotting from that, using keypoints, adaptive instance norms and GANs. Model performs no 3D face modelling!
ArXiV: https://arxiv.org/abs/1905.08233v1
Youtube: https://www.youtube.com/watch?v=p1b5aiTrGzY
#GAN #CV #DL
Samsung researchers have released a model that can generate faces in new poses from just a single image/frame (for each of face, pose). Done by building a well-trained landmark model in advance & one-shotting from that, using keypoints, adaptive instance norms and GANs. Model performs no 3D face modelling!
ArXiV: https://arxiv.org/abs/1905.08233v1
Youtube: https://www.youtube.com/watch?v=p1b5aiTrGzY
#GAN #CV #DL
arXiv.org
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Several recent works have shown how highly realistic human head images can be obtained by training convolutional neural networks to generate them. In order to create a personalized talking head...
New deep learning framework from Facebook
Pythia is a deep learning framework that supports multitasking in the vision and language domain. Built on our open-source #PyTorch framework, the modular, plug-and-play design enables researchers to quickly build, reproduce, and benchmark AI models. #Pythia is designed for vision and language tasks, such as answering questions related to visual data and automatically generating image captions.
Link: https://code.fb.com/ai-research/pythia/
GitHub: https://github.com/facebookresearch/pythia
#Facebook #FacebookAI #DL #CV #multimodal
Pythia is a deep learning framework that supports multitasking in the vision and language domain. Built on our open-source #PyTorch framework, the modular, plug-and-play design enables researchers to quickly build, reproduce, and benchmark AI models. #Pythia is designed for vision and language tasks, such as answering questions related to visual data and automatically generating image captions.
Link: https://code.fb.com/ai-research/pythia/
GitHub: https://github.com/facebookresearch/pythia
#Facebook #FacebookAI #DL #CV #multimodal
Engineering at Meta
Releasing Pythia for vision and language multimodal AI models
Pythia is a new open source deep learning framework that enables researchers to quickly build, reproduce, and benchmark AI models.
A Recipe for Training Neural Networks by Andrej Karpathy
New article written by Andrej Karpathy distilling a bunch of useful heuristics for training neural nets. The post is full of real-world knowledge and how-to details that are not taught in books and often take endless hours to learn the hard way.
Link: https://karpathy.github.io/2019/04/25/recipe/
#tipsandtricks #karpathy #tutorial #nn #ml #dl
New article written by Andrej Karpathy distilling a bunch of useful heuristics for training neural nets. The post is full of real-world knowledge and how-to details that are not taught in books and often take endless hours to learn the hard way.
Link: https://karpathy.github.io/2019/04/25/recipe/
#tipsandtricks #karpathy #tutorial #nn #ml #dl
karpathy.github.io
A Recipe for Training Neural Networks
Musings of a Computer Scientist.
Understanding Transfer Learning for Medical Imaging
ArXiV: https://arxiv.org/abs/1902.07208
#biolearning #dl #transferlearning
ArXiV: https://arxiv.org/abs/1902.07208
#biolearning #dl #transferlearning
arXiv.org
Transfusion: Understanding Transfer Learning for Medical Imaging
Transfer learning from natural image datasets, particularly ImageNet, using standard large models and corresponding pretrained weights has become a de-facto method for deep learning applications...
MIT's 1-week deep learning bootcamp is available online for free.
Check out the intro talk here:https://www.youtube.com/watch?v=5v1JnYv_yWs&fbclid=IwAR3bSAJGZzf04z1BnREJMpZsX6IUVcFtHfoolgh-apLwKXhPBMTAySAF9Rk
#DeepLearning #ML #MachineLearning #RL #DL
Check out the intro talk here:https://www.youtube.com/watch?v=5v1JnYv_yWs&fbclid=IwAR3bSAJGZzf04z1BnREJMpZsX6IUVcFtHfoolgh-apLwKXhPBMTAySAF9Rk
#DeepLearning #ML #MachineLearning #RL #DL
ข้อมูลวีดีโอ หาก Model รู้เข้าใจระดับความลึกและรูปทรงจะสามารถ ทำ Augmented เติมเข้าไปในวีดีโอได้อย่างน่าสนใจ
https://www.youtube.com/watch?v=51CQObCd_K0&feature=youtu.be&fbclid=IwAR3UHcxiphy2OnhHpcKZSf4zYB-nW8PHyPHBgxcltw-8SCpi8z0sQ8mGtaw
https://www.youtube.com/watch?v=51CQObCd_K0&feature=youtu.be&fbclid=IwAR3UHcxiphy2OnhHpcKZSf4zYB-nW8PHyPHBgxcltw-8SCpi8z0sQ8mGtaw