یادگیری عمیق در تشخیص تصویربرداری پزشکی
Machines capable of analysing and interpreting medical scans with super-human performance are within reach. Deep learning, in particular, has emerged as a promising tool in our work on automatically detecting brain damage. But getting from the lab into clinical practice comes with great challenges.
How do we know when the machine gets it wrong? Can we predict failure, and can we make the machine robust to changes in the clinical data? We will discuss some of our most recent work that aims to address these critical issues and demonstrate our latest results on deep learning for analysing medical scans.
https://www.youtube.com/watch?v=n8TkdfTJGDw
Machines capable of analysing and interpreting medical scans with super-human performance are within reach. Deep learning, in particular, has emerged as a promising tool in our work on automatically detecting brain damage. But getting from the lab into clinical practice comes with great challenges.
How do we know when the machine gets it wrong? Can we predict failure, and can we make the machine robust to changes in the clinical data? We will discuss some of our most recent work that aims to address these critical issues and demonstrate our latest results on deep learning for analysing medical scans.
https://www.youtube.com/watch?v=n8TkdfTJGDw
Super entertaining post on making Metropolis-Hastings algorithm mini-batch. https://bair.berkeley.edu/blog/2017/08/02/minibatch-metropolis-hastings/
Jeff Dean is a Google Senior Fellow in the Research Group, where he leads the Google Brain project. https://www.youtube.com/watch?v=HcStlHGpjN8
Announcing deeplearning.ai! Deep Learning on Coursera: Master Deep Learning, and build a career in AI! https://goo.gl/oABuKa
Machine Learning Top 10 Articles For the Past Month (v.August 2017). https://goo.gl/5N97QB https://t.iss.one/ArtificialIntelligenceArticles
کورس جدید : AndrewYNg شروع از تاریخ 15 آگوست
Want to break into AI? You can learn Deep Learning from new deeplearning.ai courses on Coursera: https://www.coursera.org/specializations/deep-learning
Want to break into AI? You can learn Deep Learning from new deeplearning.ai courses on Coursera: https://www.coursera.org/specializations/deep-learning
ArtificialIntelligenceArticles
کورس جدید : AndrewYNg شروع از تاریخ 15 آگوست Want to break into AI? You can learn Deep Learning from new deeplearning.ai courses on Coursera: https://www.coursera.org/specializations/deep-learning
AndrewYNg’s latest Specialization makes it possible for anyone to explore the frontier of AI: https://blog.coursera.org/andrew-ng-announcing-new-deep-learning-specialization-coursera/
Coursera Blog
Andrew Ng: Announcing My New Deep Learning Specialization on Coursera | Coursera Blog
Dear Friends, I have been working on three new AI projects, and am thrilled to now announce the first one: deeplearning.ai, a project dedicated to
16 کتاب برتر در زمینه های یادگیری ماشین و داده کاوی و پردازش زبان های طبیعی
https://www.aioptify.com/topmldmbooks.php #MachineLearning #NLP https://t.iss.one/ArtificialIntelligenceArticles
https://www.aioptify.com/topmldmbooks.php #MachineLearning #NLP https://t.iss.one/ArtificialIntelligenceArticles
Captioning Novel Objects in Images using sentence descriptions instead of category labels https://bair.berkeley.edu/blog/2017/08/08/novel-object-captioning/
A great deep learning article diving through an application in detail https://inside.edited.com/deep-learning-our-way-through-fashion-week-ea55bf50bab8
Superresolution with semantic guide. Mike Tyka's writeup on how to generate super high-resolution faces using GANs. https://mtyka.github.io/machine/learning/2017/08/09/highres-gan-faces-followup.html
10 Advanced Deep Learning Architectures Data Scientists Should Know!
https://www.analyticsvidhya.com/blog/2017/08/10-advanced-deep-learning-architectures-data-scientists/
https://www.analyticsvidhya.com/blog/2017/08/10-advanced-deep-learning-architectures-data-scientists/
Analytics Vidhya
10 Advanced Deep Learning Architectures Data Scientists Should Know!
Deep learning architectures that every data scientist should know. In this article, learn about advanced architectures and types of computer vision tasks.
#DeepLearning "Since ancient times... machines excel at math, humans are pretty good at detecting cats in pictures" https://buff.ly/2vktZty https://t.iss.one/ArtificialIntelligenceArticles
This is phenomenal! "Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using CNNs" is accepted in #ICMI2017 https://arxiv.org/abs/1706.00527 "
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge. https://arxiv.org/abs/1708.02711 https://t.iss.one/ArtificialIntelligenceArticles
یادگیری عمیق به کشف گونههای جدیدی از گیاهان میتواند بیانجامد که برای قرنها در بانک گیاهان خشک شده مخفی ماندهاند https://techcrunch.com/2017/08/11/deep-learning-could-discover-new-
CS231n "Spring 2017" (A Stanford univ. lecture titled "Convolutional Neural Networks for Visual Recognition") https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv
آموزش Tensorflow و بهترین شیوه https://github.com/vahidk/EffectiveTensorflow
"Transitive Invariance for Self-supervised Visual Representation Learning" It's He's paper. Use Triplet-Siamese net https://arxiv.org/abs/1708.02901v1