A practical approach to machine learning.
https://practicalai.me/?fbclid=IwAR3WdnSAaESo1c8DOjG2p2MXZFfQ3xbM_wMZek4QXbv85yNwD32y6J1vyR0
https://practicalai.me/?fbclid=IwAR3WdnSAaESo1c8DOjG2p2MXZFfQ3xbM_wMZek4QXbv85yNwD32y6J1vyR0
ArtificialIntelligenceArticles
@ArtificialIntelligenceArticles
Debate on Instrumental Convergence between Yann LeCun , Yoshua Bengio, Stuart Russell, Tony Zador , and More
https://www.lesswrong.com/posts/WxW6Gc6f2z3mzmqKs/debate-on-instrumental-convergence-between-lecun-russell
https://t.iss.one/ArtificialIntelligenceArticles
https://www.lesswrong.com/posts/WxW6Gc6f2z3mzmqKs/debate-on-instrumental-convergence-between-lecun-russell
https://t.iss.one/ArtificialIntelligenceArticles
Lesswrong
Debate on Instrumental Convergence between LeCun, Russell, Bengio, Zador, and More — LessWrong
An actual debate about instrumental convergence, in a public space! Major respect to all involved, especially Yoshua Bengio for great facilitation. …
Free Book: Deep Learning and Computer Vision with CNNs
https://www.datasciencecentral.com/profiles/blogs/free-book-deep-learning-and-computer-vision-with-cnns
https://www.datasciencecentral.com/profiles/blogs/free-book-deep-learning-and-computer-vision-with-cnns
Data Science Central
Free Book: Deep Learning and Computer Vision with CNNs
By Dan Howarth and Ajit Jaokar, October 2019. 58 pages. CNN stands for Convolutional Neural Networks. Part 1 will introduce the core concepts of Deep Learning. We will also start coding straightaway with Tensorflow 2.0. In part 2, we use another dataset –…
Transformers: State-of-the-art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Jamie Brew : https://arxiv.org/abs/1910.03771
#Transformers #NaturalLanguageProcessing #PyTorch #TensorFlow
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Jamie Brew : https://arxiv.org/abs/1910.03771
#Transformers #NaturalLanguageProcessing #PyTorch #TensorFlow
Ph.D. Student or Postdoc in neuroscience
#University_of_Zurich
#Switzerland
https://jobs.uzh.ch/offene-stellen/phd-student-or-postdoc-in-neuroscience/cac36d3b-0ddc-48b2-9aaf-c92f25b315cd
#University_of_Zurich
#Switzerland
https://jobs.uzh.ch/offene-stellen/phd-student-or-postdoc-in-neuroscience/cac36d3b-0ddc-48b2-9aaf-c92f25b315cd
Top 10 Python, AI and Machine Learning Open Source Projects
https://www.techleer.com/articles/501-top-10-python-ai-and-machine-learning-open-source-projects/
https://www.techleer.com/articles/501-top-10-python-ai-and-machine-learning-open-source-projects/
TechLeer
Top 10 Python, AI and Machine Learning Open Source Projects
Visual example of loss function space for Object Detection on Pedestrian Detection Database with SSD300 model.
That's why training model can be tough, cause it's almost the same as climbing on the Everest and jumping into the Mariana Trench.
And that's why we are making course on Object Detection, to help understand such moments - subscribe https://upscri.be/vg7ilp
That's why training model can be tough, cause it's almost the same as climbing on the Everest and jumping into the Mariana Trench.
And that's why we are making course on Object Detection, to help understand such moments - subscribe https://upscri.be/vg7ilp
upscri.be
New Practical course "Object Detection with PyTorch"
State of the art in semantic segmentation: A framework for learning representations of 3D shapes that reflect the information present in the metadata
https://www.profillic.com/paper/arxiv:1910.01269
https://www.profillic.com/paper/arxiv:1910.01269
Profillic
Profillic: AI models, code & research to supercharge your projects
Explore state-of-the-art in machine learning, AI, and robotics research. Browse models, source code, papers by topics and authors. Connect with researchers and engineers working on related problems in machine learning, deep learning, natural language processing…
PyTorch 1.3 is live!
Mobile device deployment, model quantization, named tensors, crypto, model interpretability, detectron2... https://ai.facebook.com/blog/pytorch-13-adds-mobile-privacy-quantization-and-named-tensors/
Mobile device deployment, model quantization, named tensors, crypto, model interpretability, detectron2... https://ai.facebook.com/blog/pytorch-13-adds-mobile-privacy-quantization-and-named-tensors/
Facebook
PyTorch 1.3 adds mobile, privacy, quantization, and named tensors
The release of PyTorch 1.3 includes support for model deployment to mobile devices, quantization, and front-end improvements, like the ability to name tensors. We’re also launching tools and libraries for improved model interpretability and multimodal development.
Using CNN (Convolutional Neural Network) to predict about Chest X-ray images that whether a person has Pneumonia or he is Normal. Data set is 1gb in size and available on kaggle to download.
Link to the dataset:
https://lnkd.in/dnxheZU
Python Script of the model:
https://lnkd.in/dJfc_yS
Link to the dataset:
https://lnkd.in/dnxheZU
Python Script of the model:
https://lnkd.in/dJfc_yS
Kaggle
Chest X-Ray Images (Pneumonia)
5,863 images, 2 categories
Congrats to Dr. Rahaf Aljundi on receiving her PhD from KULeuven (advised by Prof. Tinne Tuytelaars). I am happy about our fruitful collaboration on continual learning and that it was a part of her well-deserved PhD.
Please see her PhD thesis in the link below; seasoned continual learning research ranging from the use of unlabeled data leveraged by MAS (our ECCV18 collaboration) that is also inspired from Hebbian learning theory, use of language, ACCV18), later her work on task free continual learning and making it more online at CVPR19 and NeurIPS19 (at MILA).
https://arxiv.org/abs/1910.02718
Please see her PhD thesis in the link below; seasoned continual learning research ranging from the use of unlabeled data leveraged by MAS (our ECCV18 collaboration) that is also inspired from Hebbian learning theory, use of language, ACCV18), later her work on task free continual learning and making it more online at CVPR19 and NeurIPS19 (at MILA).
https://arxiv.org/abs/1910.02718
PyTorch 1.3 is now available with iOS / Android support, quantization, named tensors, type promotion, and more: bit.ly/2OCfNpR
pytorch.org
An open source deep learning platform that provides a seamless path from research prototyping to production deployment.
The State of Machine Learning Frameworks in 2019
By Horace He : https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/
#MachineLearning #PyTorch #TensorFlow
By Horace He : https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/
#MachineLearning #PyTorch #TensorFlow
The Gradient
The State of Machine Learning Frameworks in 2019
Since deep learning regained prominence in 2012, many machine learning frameworks have clamored to become the new favorite among researchers and industry practitioners. From the early academic outputs Caffe and Theano to the massive industry-backed PyTorch…
Practical Posterior Error Bounds from Variational Objectives
Jonathan H. Huggins, Mikołaj Kasprzak, Trevor Campbell, Tamara Broderick : https://arxiv.org/abs/1910.04102
#MachineLearning #StatisticsTheory #VariationalInference
Jonathan H. Huggins, Mikołaj Kasprzak, Trevor Campbell, Tamara Broderick : https://arxiv.org/abs/1910.04102
#MachineLearning #StatisticsTheory #VariationalInference